{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c418f9a3",
   "metadata": {
    "origin_pos": 0
   },
   "source": [
    "# 语义分割和数据集\n",
    ":label:`sec_semantic_segmentation`\n",
    "\n",
    "在 :numref:`sec_bbox`— :numref:`sec_rcnn`中讨论的目标检测问题中，我们一直使用方形边界框来标注和预测图像中的目标。\n",
    "本节将探讨*语义分割*（semantic segmentation）问题，它重点关注于如何将图像分割成属于不同语义类别的区域。\n",
    "与目标检测不同，语义分割可以识别并理解图像中每一个像素的内容：其语义区域的标注和预测是像素级的。\n",
    " :numref:`fig_segmentation`展示了语义分割中图像有关狗、猫和背景的标签。\n",
    "与目标检测相比，语义分割标注的像素级的边框显然更加精细。\n",
    "\n",
    "![语义分割中图像有关狗、猫和背景的标签](../img/segmentation.svg)\n",
    ":label:`fig_segmentation`\n",
    "\n",
    "## 图像分割和实例分割\n",
    "\n",
    "计算机视觉领域还有2个与语义分割相似的重要问题，即*图像分割*（image segmentation）和*实例分割*（instance segmentation）。\n",
    "我们在这里将它们同语义分割简单区分一下。\n",
    "\n",
    "* *图像分割*将图像划分为若干组成区域，这类问题的方法通常利用图像中像素之间的相关性。它在训练时不需要有关图像像素的标签信息，在预测时也无法保证分割出的区域具有我们希望得到的语义。以 :numref:`fig_segmentation`中的图像作为输入，图像分割可能会将狗分为两个区域：一个覆盖以黑色为主的嘴和眼睛，另一个覆盖以黄色为主的其余部分身体。\n",
    "* *实例分割*也叫*同时检测并分割*（simultaneous detection and segmentation），它研究如何识别图像中各个目标实例的像素级区域。与语义分割不同，实例分割不仅需要区分语义，还要区分不同的目标实例。例如，如果图像中有两条狗，则实例分割需要区分像素属于的两条狗中的哪一条。\n",
    "\n",
    "## Pascal VOC2012 语义分割数据集\n",
    "\n",
    "[**最重要的语义分割数据集之一是[Pascal VOC2012](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/)。**]\n",
    "下面我们深入了解一下这个数据集。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "daac4844",
   "metadata": {
    "origin_pos": 2,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import os\n",
    "import torch\n",
    "import torchvision\n",
    "from d2l import torch as d2l"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d328b1a",
   "metadata": {
    "origin_pos": 4
   },
   "source": [
    "数据集的tar文件大约为2GB，所以下载可能需要一段时间。\n",
    "提取出的数据集位于`../data/VOCdevkit/VOC2012`。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bd79e9c2",
   "metadata": {
    "origin_pos": 5,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading ../data\\VOCtrainval_11-May-2012.tar from http://d2l-data.s3-accelerate.amazonaws.com/VOCtrainval_11-May-2012.tar...\n"
     ]
    }
   ],
   "source": [
    "#@save\n",
    "d2l.DATA_HUB['voc2012'] = (d2l.DATA_URL + 'VOCtrainval_11-May-2012.tar',\n",
    "                           '4e443f8a2eca6b1dac8a6c57641b67dd40621a49')\n",
    "\n",
    "voc_dir = d2l.download_extract('voc2012', 'VOCdevkit/VOC2012')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ef71ce7",
   "metadata": {
    "origin_pos": 6
   },
   "source": [
    "进入路径`../data/VOCdevkit/VOC2012`之后，我们可以看到数据集的不同组件。\n",
    "`ImageSets/Segmentation`路径包含用于训练和测试样本的文本文件，而`JPEGImages`和`SegmentationClass`路径分别存储着每个示例的输入图像和标签。\n",
    "此处的标签也采用图像格式，其尺寸和它所标注的输入图像的尺寸相同。\n",
    "此外，标签中颜色相同的像素属于同一个语义类别。\n",
    "下面将`read_voc_images`函数定义为[**将所有输入的图像和标签读入内存**]。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b39cdcf9",
   "metadata": {
    "origin_pos": 8,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#@save\n",
    "def read_voc_images(voc_dir, is_train=True):\n",
    "    \"\"\"读取所有VOC图像并标注\"\"\"\n",
    "    txt_fname = os.path.join(voc_dir, 'ImageSets', 'Segmentation',\n",
    "                             'train.txt' if is_train else 'val.txt')\n",
    "    mode = torchvision.io.image.ImageReadMode.RGB\n",
    "    with open(txt_fname, 'r') as f:\n",
    "        images = f.read().split()\n",
    "    features, labels = [], []\n",
    "    for i, fname in enumerate(images):\n",
    "        features.append(torchvision.io.read_image(os.path.join(\n",
    "            voc_dir, 'JPEGImages', f'{fname}.jpg')))\n",
    "        labels.append(torchvision.io.read_image(os.path.join(\n",
    "            voc_dir, 'SegmentationClass' ,f'{fname}.png'), mode)) # 就是不知道这里的标签是使用映射的方式还是使用的独热码的方式\n",
    "    return features, labels\n",
    "\n",
    "train_features, train_labels = read_voc_images(voc_dir, True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24c325e8",
   "metadata": {
    "origin_pos": 10
   },
   "source": [
    "下面我们[**绘制前5个输入图像及其标签**]。\n",
    "在标签图像中，白色和黑色分别表示边框和背景，而其他颜色则对应不同的类别。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6de5f355",
   "metadata": {
    "origin_pos": 12,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
    {
     "data": {
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bIy5s1SidSargdjwqa7Q1hBRo+4B1lkbXWCVsR688hERGY5TFKoOpDDkaQkgc+UNMkvXHZI2Nit4n+hZqWzEZb/HKF1/gg3f/KbN5i3aWxbJne2urbOaKru85Ojpg/+F99i5dkfVHy7XgvSfH+K+bqn+joaxFWUBbQgqcLJZ00XBwvODoeEHwS7at5vjoiBAVx+aY/YP7mMKYZwXEzHjzMtdf+jxGV4ybMcGOOV5E3MExxmpCgNpZxo0D3XDYLbC6Qpf0vxBYaiUHKEe3CsxXBE9WJaDMJCIb4x20FtbJ+14AMFkkBFmXoNzL3qBkbVQqyJqYo6T5ck9Igd3LF7naytqqlCIrw3gyRumMNgmoUVqO01jZVLKxQgQoI/S602zsXGTWBj68fxNra4x2qwSlQqM17Ew32CzsdQu0Xfux5+wMZJ2N9VCQStrOaEOKWVIwKmNUpuyTuMqhtCFHASUCqMoLrGDFsCrmIgnJpKTKDSHAK6tcWIhym6YkYMsocgJtEiaDM5CtITYjTrzlzt1jFq2QymiwqjxPC7umVESrIXWpCBGMDtR1xihI0WCMlwXDKLyHkA3Z2LLhG5SyVLWhD4DOQmZrg8LIxq8M2mqsdTjnMNaI3kVJ+lSVFClJk4o2bUgRxpwkgj+VPk1pzeJk3T22KX77vXfIKfPUU0/QNI7n9rb4F7dO6DZ+DKUV95c9tt5EG4M2hmY8xVWabjmnN5ouGUy/oE4dP3m5Ic/e5aUvXOH3fut9ghaGySKfJeeMTtDrCGFAmBmrFClFYUFjJKuM0ZKKiDHgKkfvO6HtVdF0pExUkGLEVU70VDETEzhr0BYURv5uDBH5u5zjhBCdWn5GSQr8iSu0F3doP7iH+vAejdGYkPEpE7tAXPYYowgxYY0lxoyxlhg9xmhSlFSx0QaVMz72aGOpRxOsq3npp/8yz37xa9x563V+75/9E77zzdfZe+sf8tkf/1k+95f/zmOZ34u7OyyXIz6YRZRKNM0OWVnqZiSbjRGAGP2cvg9UOmJMhdIWWzVMTMbknuOjI5RZUMWenckUmzz3ZwuCzkQ/x/SB6dZFWh+wLuPGO6BqsrYkpUmxQ5sKkkarhM6eoBRYi1KOHDu6foHiBJePcLZhkQ8wtgE1Z3viUYU5ySqitZGgqaw1RkFjGqbVmJgiSiFpuxBQSuGyQkVhr0MWlrhrO+bHR2yNx7iqYtZ39CFhdc3uxhZbl8/z4vOfY+/8VWrX8Aff+C6vvfEmKcOy8xzPWyajEW3XYYD63DbL2SGH+w+oJxt4UQpircXYx8RkoSQNrBKzRc/SJ9xoyjIY3OY5aq1I2XHnwTF6f4ZTehXiapVISqNz4vxTL7P35MvChCH3Tp8zt48zIMGfocPoGWTLe3e/Law+GqUyWmeUxJ4CenUJqxRkrVaJQ9FrKeazE5yCkc1MNw9464N7pKyJOUJKZKIs1yQiBpQw/CnL3iCZkSQEdkrEkPi5/+A/4WfK3+UVdNHCisREK0CpotSSNGJWucgNLKhExmA13HrYcevgdVK2crZykAAqR8DwY88+zZ975gUsxffqE6SBz0DW2ViNlDIZEXGOmoachDZGgbOaGALZaZQyojvKkEigFCoXHQ1RgpcsLI4q+qSUJCU3iOVBNlr5Xcmfl3ShPEaTjcRfVRbAFmMtAMC2jOogacSi6xkWklyAVc5CjadBDplh3mZiCqQYCUHSfjFm+j6Sk6bziqQMKWmSUmAqok/4nElIOmDQIhhb4SpDXdeiOakbnHZorU6J24XZO61HSynLgpAjqmiOUkorUKJSpu0fH8j67d/7Ov/z/9mMuhmzXC45P6lYzlpyXRP7wP5mwyJE8nJJqsBoCJ3HWQfW0UyndAeGmDKXx4rNqcbVlm+NJOWnNcSUcZUIvFWWTTGVlKtWoo0aIlWjNTElyEk0dEpDylRWNtiUM7kA15hEzJ6i6PxE1JyJSRZ3ZQxG68KEKaxSovXL5TosIB4ySitSDGAdPHUV31T0tx5Q+ciocnRdx5233ubiy8/jrCPGXtjHZIFcNnMBhVpLIYV1VUmzeFKOaKWpxhs88YUvc/nFVzi89R6vfvdVvvXNb/Cdt24+ngnOiV3bcVc7gm5IGZqmxhpLuzyh7Q7RJLSd4KxlZBtqG1lGOZ/LEGhUIjvNUbA0fkl3dA+0wrcRmi2q0WXa+UPaZKDeIKoKrSCmwGJ5wni0jTE1ddUAAR9OSLGlqmtSakAtiX6G1YrgT6jcPkZHzm32jBqPsllYDe1ow1LS6CFigZFrqGwlcoAkcxhKEUPnOwwK52ocFq0180ULJKzSLJcLCapiBu+Zn2Qm0zFf/tzXuHT+OlU1Ym/vEikZrDG8/PLL/OCHPySEhHVwMpthi8azvrDLsutxs2MWsyOasYjRRTQhcoXHMawxaF2hjNxLVsG7H7zH4nguAV657rWKaO1k/Sv3nVHCwllEAqqyAm0FKCmDVkmyCoXR1yCsTnkvg5MiBiO6Ua0F1CgMDoNSRWFqJA1olAQ2KcD7773Dc88+x/a04ejoiJP5kj5FfACVpBiGHCQ4yomsRJ8booEEMUdyWSdTDqQocoCUIMdASIG4kp6EktKTAC3lIMm/HEk5DLEeEcho0XSh1rKOpMiqJ5EwbsyTTzxH33uUPJpS0/Tx5+zTvADOxv9vjxACKSZiCOUGGlRECmsNKXlQI4kkrVQOrR8hlSSKAWyV+EJTdANWdDSiTIacVhqsnBMJ2VytgpS0VAQCBdaQVcR7x+jCUyzNiPlihu9bYsxyzKnQQaWaKKWEyopl19P2ielkTFUZ0QOojMvrw0lJCStiIMSIaRx9liqjnCWFpYuYWhmDrSrqekw1qmmahlE9xlUj0QMp2dB1SQNCWTRyKinMREwF+qW1+D8XOivnjOkeH8j6/g/f4M7du1y8eJWcM5d2NmhywBnD3pajjYn9pefqeITvPdZY/PKY2c23ePjWd4kP3qexge1zY0bViLlP3F1YcrNB0goTM0lHqfg0hmwL86ezpNjKwpwyVNaRkzyOJJu00qJ9Qks0nZRiVR6QRUuhdMlCGI0VzIRWEEpaMGfRxeSijbFGlkcfEkqlApaRqiSSaFwuneehVYzfvU3Vdiiluf/eeyiVSQSMcVg0XT/DWIsqqXOtHUpB04xLqiOLSN5amW8F1o7QtmL7+rP87PVn+cyXv8iv/b//8WOZ3+PjY3bO7XAhWQ6joZ2fsDg6wudEbRQ745pRM+L2wRyVeqLdZjIeoWKkW+xj+iWLMCOHBT4s8GTysmNcV2QzpUuWoBO53sJnhxttYaoJKTvAo1IvTFI9EoAcA5U1OBcJYR9nHDHPwWU0c6pRolZL6qomJFlBQlIYW9P2S0JO1NrSOFeiKEXwnpEd4VMkxEiImeQjKWQaV6M7YW2iD6S2kxSxq3DGMRpNeLh/ws7WJl/6/Bd46tpnePapF1FoXFPjrAGtSQmefOLJlcg7pUTwHmU1vu+ZzZeMmmNSjsxnx+xeCAQvOj2VIfT9Y5lfpYRNNyi0jiSlee3br3L7h68XeUYu90MkZy3KpnJ/DAlqVeQcksQzqCILESACOicoz1dKl3tRlWA6FcmoRply/2hd9LESDGflRO+lI0o7AYO15trVK+RJLe+d4Ou/83u89tobUvAUg4ClwlCn6CX4TAnCEByHEuhI9XMeAtiUyCmQitwiJanSzjmXwy763UHGkGVOtc6gDEoZEhIEKi1BYdYCNneeuM4Tf/9JBLathe+fRFL5sUDWmRHan63xOMwqAbyPxFAWCqXWUX+miN9blBqTkmhqOi/UPLmwN0V8KNeIZLVFnTxQugWUZcmPp4RokDIr9VJOumi0QGtJnxlEGFtVVkqJ6wbd98SQyCkSVCQTxWYhKWJS5GxJKbL0mvnSo6pM0krKkJUu6bzCwlXl+JReMXegyTms9FFKKazRuGZMM2poxps04wmj0YimmVDXY6wpqUJlQQ3slSoRmBzrsHAMwErsLURILTgrot3yU5vTj46j40Pe/eHrPPnUsywWC6xWXJ7WPAiR8VjQz8OTJVcqS3f/fe6//30O3n2V7uAu41rzxMUxMTV4PaI99wKbT36GyztXef3mf8mde7cFZyhQukBtpQghiKAfJfYd5RKIsSyCKaKUlXPsBgSlUVpjcnEUoLzm8H2WRTNlAU0557IHy7VolBKVu0LAayoRupLNwXtfrs5iP6AUenObkycS03fvUPWe+2+8zuzOh2xevlYyloGqnqIU+LTEuhqtbGHTPJqEMQ5jHKEI+w0Z7zusrRlPNuj6BVsXL/ML/6P/Mfzn/5tPfX7H0y0aV3POdjw8mqFSwCmL0YaR6ohtT58VjTNo60hhTjs7YFRV5OyxlQa7QXui6LqEGtckfQQ5UU8ashpjDBil2a4tXo+IuUZl2VB3dy7i6nO0viX5FovHqoQBJsaTzTHGeZLpyTEwrkb0bYOfG5YzODnu6HNCu8je+SmbG44YW4iamBNjV+N0TQ4JHTQ+anLw1Lqmix1jbWlcDTnTK080lq5LHPee7e1dnrn+LF/7whU2N3Z58snnUdpC1jRNDcagjCX5iFaKK1euMZ1M6H2QzV4ER2xsTJiOx9SuYTQecXR0j+3jPUbN5kr4HkoV6qc9jHFYAxjIxmK0p9IZsidlUEW0HtOwBpd1SGVQscgXDCollBbROUnkEClldBb1VJGssc4RKHISicNaR64l+DylPU05Q1m3pbJPwnAzroVhVpGMImV4eO8Bt997RwLcEMp7lLWiaHNjjlKdfEpoPtgF5eHzDcCnpDkHbZgMRS4aMC1aksLsQSCjVEAbCYiyln1DmwRKbGZUTCUYA7KsP2VH+Nhz9rFA1pkR2p/N8WmaVYKALB88KecV0IIicARSalFZk1KPNRVedwIQlKT3JJU2CBH1KQZiLSxfAZtyV4o2SXyUko6rWEEjbJCUAkeMMlQ2s7mxwXw2Y7mYE7XcTEZpkhKK2RRcl3NG6STpyELzGhRGSYWa0oqcdNFwUT5nLt+nssJI2lGqYRxVU1M1I8aTKaPxlHo8YTSaMGom1HWDdRZr7KrKaPARkDWhpAujfI0pCoOXEjkhAKwwXYvF4lOb04+Ov7e7x+jNN8h/5RfoQkB7z19+4QJ/+GCGTpGXqjnjD17lvT95h3B0D5vmbJsWdjVe1aSdpxhf+zGaC9fpE9x5+JA3v/ctDmf3CVrhSgk3OUlUGyVd6yorOUOkSLsvLI+GVVl4zqqcHyGFjCApKTiQXLAI0K1U+K08b8piq7Sca++D2EPkJOmMIozVWmG1FrZSKWIRsw9pSKUyemODwyuB7Q/vMrvxNr/7v/1fcv1n/yrP/exfY7R9HklHZPHTiZGYPDF5nBVQH0LEGPFXyllYLecaYpKgAFixuI9jPDw4RKWWKzt7PJhHlotIUh5Mw0hJVeyJb8l9S9ePGI0aGqWZNFP6XBP6lhwXdNFQb16gqTK2spgcYLyFokZlSYcpW5OzwqaWHec4WUaW3ZxF1MTQ0ZiWqZvjXEvkBKV6NJp2EVksI3GZuT07Zna0JCePG8N0p2J3t6EeaayZo3Mikhi7DTaqKdYa2r4nEfA+kBYepxx1XZFVIoTEMgXmXctiuWQ0HfPKC18gKMXTTz7N3vkr7J2/jDaWzntyUlRVJexp0U4O694T15/g2aee4tXXf0jO4uM3my04Op6zMZ2yaFs28pTbt+6yubVHfWUCgPceH8JjmV9MElpKZZQyGC3+byrJgpoQkKKRog2FrC9xQEYl+KN48smTSjYhZWGACsgaAtFcpB+ymEd5jBqAznrIW+RTNU2xQDCNChJgSkANEMgl7RfLsecYJRmR40r6kbNU9Q2sv4DG8vg1N1f+lIuWK60E+CjxxGKlBZbnDbWLGQGXKgtblxErmKwhq4RGKp1JkaAyASVpxvzx08EfC2QNhlv/i1/+DSbTLUwppTZKr8qqpYR1iCILglVa0k6K9d90ye+Wn1UxEpQoc12t8GgFA+Vv68lUq5+Hx625E/ktw3K/+lt5uKRyVC60qfxujfvXz//oyHn9+wFsn6YQh58G2VFeXxer1x1+J4g4r7NnK+0OZTMpDEfZeFP5PufM7PiYv/f5lz9Vs0oQTUPvvUT3IVBVroCB4mekddFPaYx1iAdKWgGmIcQZgNZwVlXxLBGx+/C3IpxMuoC0EjGoRFKpVPNpVLF2IEslWt2IbiIEz0MfUCGhiQKjCuukdbnpkipeMqr8vlxHyIa7mrYBWEE51vW1ZYyUdNdVjRs1VM0YVzVYV2GtE8F2ucaVllSD0kPVo1r9W0dismCs/3dqvoGc8sqD6XGM//Q/+8/47p07fKnvmI4nhL7l3MTxxQd3OHrre7R33mMWF2xt1mzWmeAzobpAfeUzjC88w/1l5MM7d/nOv/onTJtInEx47Q+/zfVpxSIFtDq1yGYgxZWOiiz3rY9JfJo05BAISWErW64n8RlT5JI2VOgS0SptUBl8CLKOaCPXCUqqQDUkL1qQVBZilUBb0ZDZopGz2ogOzGRyzFjjZGE3htS3hGnNrXHNU51nS824+y9/idvf/m2e+Nm/ybNf/Yu46YYs2hqcqXE0BN9izahc256YWig6lRA7yALUlaqwuqZtH88mnDI0oy10imxWmhgMOXpCPKFFM9aeihG6ajjxmdo6SIpZm+l9xLdztjcmJDVCVxVNrXHtA3SMdCgMPdE4dFboELke4eV2yfV2joue267hB6biwHpm+QHzhw84mQfmxwt8CEy3Le2iY3EY2dysmWxnLjxtmUwb6kklAViCznvaZcY6TXYdh90hNjti6zmanVAlODfeIhpY9sI0Lbs5MUUOj1pyNFw4v8crz36Wp574LOcvXGQ0mpCyMM0KLdqurFDKyJrXe7QJJRhU2KriK1/+Cq++9hogLKiYmVp8iLgc8X1kMp7QLxcsZ0doV5finccDopXRaC2yBKMDaEM2ilxYKq1EM0iOZMQ4V6MKcNECnlTZv1Iq+2NeMfg5JgFwAOSyXpc1Pg8rVi7L5SmQVVK5EvKsIt0SwWYBdTkLkzyUpZeiKD2k8FT6kX1XlddZbSf59C49sNkM1DZFPV+Ofr3eC3DWjwDBlWWQnFhJiyZ5D52zBPmSYCQRCCg6EI3gJ5izjwWyBmQ/mU6Zbk4xWssiZ0wBV7IJr8GWXkWOujAHGlZ/M6iyEZXqNCUnXyonWJ2UAVidLheFAtgY3KIzQ8l9sUFb2QytDdJO7aen9laG3w+/G+YJ+JHZPjWGfOzp6R5+t9o0ixh7HQIwXJ6ra1Qkknn13JTWz08FdKVBv5NZga0ByX/aqVvve7o2rMqQx01DjnGVhrFOEWOPc0rYGmNWEZQePr9GmIVB+L5CnYnBMXc1siBsrYPcKAOgUhQxNAJWBlBWrommqbh48QoZeHj/Fl0WIbVGUpBKxQJyxFNrddNTro9yHa5nJEM2he9SoHx5P4urLNZVArLqGlc3uKoS1sqKN5bSFIF/YcKGYOEUWzHc0PLD4AklRyT/L9eBBvWYKpMA/qvf/zof3PqQv/Af/Q02NzeY33mXxb13mH34NqpbcG4MlTV0OZN2XmBy7RVOdMMffu/7fPNX/hGbzRYs5hwezwjLu3zlF36WzSvX2al77p/cFGGuMZI6tbawdIngE9oV41cjaUnvgwQ6Zb4VAlAlCZHBKJSWbgAGqSxMWWG0wUcxKZTiDJl33YuwPWRZi7WSqDz2gZASKEl7pyjpWqUVmFIckco9VzaJaGE278mmYrs2+PltPvyn/zV3vvkbPPNzv8jVL/wEth4DEqE71xTLkKHwQnQmxjgBdVHc61FSyl7Xk8cyv33f0fWB5JfsVInWQ4wttW5Q1QaKlg2TmOWKKka8h4oewhJ8ZFIrkkooG8kh0utawKyCSolnXJ8Ve9Zw7f59pgf79LMDHmrNeas5byxfePABD89t8ycp8eAg0vWBbu5p/TFNM2Jjw/LMs7u4qvhvLXrmB4n7H8yYzVtiiFQ1bO+M2NysuTw9z9iOoVecLOdYn7HacDg/4Xi+kHstwdHRktpN+HNf+Am2t87z5FPPsrW5RY9hY2MXUDgnBRm67GGJLOnAGCWghPK4Gsi88tnPMB03LDuZ57bruX9wSNNUGG05nh8zzg337ifGGztUY411Vbm3P/1hlF5VtykjnmemgEYY3KUGBhkyhqQiOikJkHXxyyqPJg/1msOmuUJgQkYzVOetI9I83J95CExP4SnyKrVqlBYGCmQ/yGWvxkABfDkliCU9GYeqc73eDDOSPiyvLUumPrWv5tUR5hXFUsCaUsQshQAUMb0q1ZFCFgiGSGVt0AwdOuQ8qlzMlJWsDZ6PUiofb3wi4btWAmAGkdswNbowVQKqyt+1fDV6MI3UH/n7Woymi9OGCNTUmn06/V4rwKXKexazfTXI2crxrQjK9aU0vN7q+1M/PzJOM158BEStfq+EKj39mLx+vZwFkMjrDKi/UKXS44XTwE+h1tRl0SdRwGPKQ/rtkZjhsXlVtstA23ZSfRdFDKlKZKRIWGMIPkJTSxrNiPvuGrjmwRZFZmHQybAGyqfBqHgYSbpQYQZEVv6YimhxPffDCVda4ZqaixcuYzQ8uHeHxWJJxheAI5FSimDKXKyYNbWeUXXqsQMMzjmCogimLbaqsK7CVDW2aqRyqaoxxopTtbElOlN/6jX1USCc85CSfARusjqDq78/nnFyfMS1i+d49Z/8P7h+dQsbOirn2R4t8ZWBySXM1S9QbZzn9gc3eP33v8VvfuNbvPmD7zPe3OLa+UvM5zOstewsjzi68SG3Dz1Hs/vkrAmLOdbW+CAWGT4mfOdFW1HAldEWHz26VAMqRJ+VskTRDk1EUVlD1oqqspAToZcqMmcdPvQYayFHvM9gNCrFEo2DKdqunOKqOklAVCLGDCkTdMYmAXPy/plKGTGfJTPrPUezJaPzltqCC+D33+Od/+Z/x40/eJln//zf5uLLX8FUrmwgRlq7ZEtMfSlrl2pHY/TKxNRZx3E4fizzG4OkpN2oYewyVJZ7Dz25b/HRk13Dcnab0XibbBXzdg5W46lpnMX3M5RWnJ9uMl96ZssZ2SV0hGmjSCFju2N4/yazo0M+WJ5wP3Rc2KnJS8vTyXCiFLOTY+ajhlm75KSdMd12XNjdxTmDMY6HdwIP7j2g71pSDozHlp3dEZf2apqpoxlX7E62cBF0Z1guF/ShYznruHswY9G1VNbRt4lRU7M13ebZp57nhWef4/zuec5fvCwp/WYs2lGtMVrS+WhDzAKqUpKWWymlFQtL1qgCFM6fu8CFixd578atlT1ESpH5fIHRmemkRmWoXA0pMG4alK04zbZ8mkObiDJDYKaw2mOUWGUOJI+sYRlSQKtUWshIIKFyuUEKSMmDPjYnVMqrDM+QeRgoJGHf45qIyMOKVYp2lCopV4TNz3klE0FJGi4TVmubJqCzL5WEWUDVsPbnoR2bgLiY1mu2BDGaVSs3KHNSjldJ2i8h4EjlWMBXYcREuEZGbH5iEvNrXQqvUOX8kVE2QI4kNCEqfNlCJMP0KacLh2HUALRKiefwT4l+Qpf0n9Z5/RgJFguAKk7Og5fQqecY1iyTKvY4GtlQVYn0VQFUp0GeLqdQ0oyDgdifAqLKaw/8xWkwdfoxw71xGmidHqcxPcNrDQBreIFyAavMSr9A0dwoY8qmLA9LrIHUYOo5pNO0ygWAycW1/ryPx8hwsezolnNiyIQkVXCStpOzZa1h2fYoNSkbh7QbGe64R6SIp0AtJbpan9y8iixQmqwVpLg6r1ohNH652OVVUomeipBSibnoufOX0dpx8PAei9kRMQYyYsukUmIwCP1IU5tV+bHMk5Zeb6WljTYGZw3OVdiqwrmGqhrhbI2zFdZUWFthhrnUg7arwOYCDPOpi1CuybIsnVochuvgNFA/3dbh0x7P1DO+/PRFro+Pmcae3nfcPQzM9Dme+spf5eb9Q77zh+/yzW//Eh++/Qb7sznzZUv0ke7mbV4Nr3Lt0mVi8DRNzWu/9nUCYFPmM888R4XC+w6UwZIx2qBHCqs03nvcyEGCTTeSzS6KBsIZizXCNBijy/wnYs7F/kOhsyblKBo8ytphhMXyyaMzWK2lWolMjBCjx2lHzIk+iPu/TuCDJ+SEQRYpox1ax1UapD1eMO8z//BfvMFf/PwFfvqFHbZrMFnTdB7/4Xd44x+9xs1nv8xTP/cfcP6Zz6KdXUkInGuKBqUIbhm8hMSHx5rqsczvbL6Q6mAzRunI+emIw+UmQRu65Zw2VyyD51xo6WY943qEqc9xMp/RaIsyI3xMnCw9lYNxVERVo1RPWh6iw4yTu/vcvvEh50qAeDv1PH++Yd5pbp7A0lpSXdFsb3KhrzEzy8HsmIOHB2JrURvGY8WFKw3NqGGyUVE7y8iOhEX0kbQMaCRNtX8856Rf4HOgcY6bHxxS1SO8zWxMNvnxz3+JL3/xK2xu7aBLZeBouoGtKnKWKtaYIsbZwrQn6QJhSnqfSNsKT2GNEd1eCKScsc7x7FNP896NDzFKY7XB956+7yA3zI5nVLXDh47o55AjpgQPj2NoZYrOVGOVEaYXARUSRQy6o1jIAPEclG1J6AfBMUOKUFYg6fcp6bK0yvXL36VKr9DDwKCrzQMTv1pY1ep/axRWdq2sKW4/8hpKIz0CjYC+MoZgt1BWks4rnlmniYa4shcqlcQrzZVZvVIeyDAl/xmyDCvqLa/jesFYgjFMscKQz13UvPnUsT3y9V8/PhHIUloqEgQ4KTGZU6qwVbmwVOUgVVppqx75nRbKfGC/hpTfoMeCNYMl6b/8KLPFKa0VwxSqAj7WzNXw9XR68JHff+R3P/KLR8DWAB1Ogbf8yBchrE6/xADKlQZnUdlgVznh8rjyzcBkDdVOqaBuaXYrVXmFoCUWJ/XHMe492GfZtnjfU+cRPkSqSvo9aVRhrmQDzVnK1H2vHjkH8vnXjJFSAjZTWs9tobEKcCyQoqR2VkqlbBAnkwFgRVaRSoFNWoN1jvPnL+Cs5cAZZsdH+G6JSpLu01puYNEflOux6AKzSgMeRqvS80prjDECqJzFOIep5J9zDmcd2lphYYy81nBTDhHWCmStPnD5yOUmHpDVitweQGpmlWZ/XOMXvnKFC3sTTo7nvHVfc2NW8/ZRQ725zcH33+CdP/qX/Pbbh9w5PGD/wQGGyHRrB28CW5ubkEXH46ZTcsr0wRcwWewUtMYqLWmZLELcCQblKrbyBNM4jNIYI3VQGkhRxLymAGLBPUaqn5I0d5X1Qja/qrS+IWX6BNZqSR/mRA5xVXggMrBU6P5MCpms5f1SDGQlAC5H6aWYUyTkRLdcorQUPEyc4b/+rbf4nTd2+bs/cZ3PXR1RjxI2aqz3xDd+l9fe+TbTz3yNp3/+F9m++izK2GHbA2Wk+pFE8GJWSklZPI6xf3zA0fK8NBHOluQXVGnBrOtolzNCCigSd+7eI1tH51tytCxDRuoFItZkTBUZjzfRBKI/IsR9OvWQZDNv3bgHbcd9lZhun6e+8iJ3L57na1/6CuN6hJ1OaCYTjmYnvPXeu3z/+69x65t/hFaZnUs1157ZoplAZSyVtmw0DWM3IYaETgkfO3I9xkfDomsJZKKP9CFhcuCJa5e4cP4yVy9f5/q1J7l+7Rqbm9v4mAghFuZE7mPpCKBW/mnZFLNQpVZrglFgtUJri9aZzvdisxIF5P3Y5z/Pb/7e11cLfIiZxdKT0UwmU4hQ2UoCar9ANxMe0/SKLrGk9JTJaE9p0ixrrljDxLLuFmBUUkuSupN1dKgKH1gbSvpslWrgFKO1Al25/H+wn1FlP0urtL+AunSKryhrXgJpp5aLtCcVEC37e8wDuTB8La+gWDFaFCH+6YKslb63bCzSlm29SYsOLa+kQ7lUtKvVXwsozenUWj0AMFXsZ4rcXRUWbQC0H3N8wnSheGhI2i+VSq1BPCeJL10UFavU4mmB+6mU32kQNTxWlZM6sFFarcFVcfFYpxNXuPw0kBr0WWsQfRqMnR4/ArI+Iqhb/+3UM1eTX3489VMux6gGGrYgLTFNlCyxGbCHOnUBsj72XKhSVSqnhqa3GUnN5RX4ejx3cIyJ5WJB13VMohc/mrpiCEE0YIxUa2SV0VavLnip5jt1aw2INMPpTWVogUCJUgU6Dh4kA30tF33OEi2tK/DWOf5cRMxGZZLWbG5tobREM/NjReqWpJiKJlCek1AkpbGrW6xcQSqLg70Wc0xrnYjaqwrnDHYAV86hrWiC9ODuroWJW1/ba8ZKq3UkKL8owLIsSPnUFfToVfX4xvffucUvfaNlbqa0oWYynXD1yWf48N4t3n3vB7z5w/c4WUaSMly8eJ6rE8Oy3uHg+IjKgFKG5AM5J5wRzyKyYt51xBBwlTTQNZUTmBGlDcrC93iQYMM4hjAzk3HGkIyGWHR3Rq+um2y0ACGdS8GKIijxydErfUUuDIaSliADg1TaHqVynrX2ci/GLNkJElZZdCNhWsya1LWgYOZ73jh4gLaGajzie3ePee2XX+Wnnr/Av/+lS7yw7RhPNL5SuHZJfPU3ePWNP2L8mZ/luZ//D9m6dA1dBPW5qI2NqwUIEkj+8VSQxpiZLVsOT47Z2phiVeDq3i7z7iHzhWMxe4i1hq6NZB3BTknpBDPZwVaJUTWhrnuCPyLOH9LnQ5ydMZnAtNmkm42Yx4dYnamn59j+/E/yla98hZ/5iS8y3ZyglWM2m3P73i1+cONNXv/BD3n/zTd5+tmn2dg2bO30QMT7Dq1t8UozLOcLFNIGJxBxTkPsabuWmzcP6Hxme2vKs889y4W9S1x/4ll2dnYBYaMOZzOMFnPg0WiM1mKenLKkp1WGum4wWpGj+AGKTCCt7tvgO2KOWGtROZNCRFvLc8++wO7WFncfPFwx1H3w9H3P8ckJe82e6LXaBX55jHZjFvPH43WnFKXLRkRMobMI4fMp8igLwEpiJscAjgaOK2e93kNyuYdWqcGyfpXuHMN6DIX9KoUmKxF8Lg2YKb5VJGH2c1qtsoJY5LofNj/Z98RUOKeBZlivlatWOSl/BEzJ4/TQNWT1DsN6PjxWrZ439EiVHXpg7WQ/GLJpDIAKuVcHU9askpi0ok6t24mT44OPPWefLF1ILs1yc9E+5QKSBqCkCsM19OLmERC0AlZq0MPkFQOl8lCRVfRW6lGQtX69R4HUKj3IGlidrjAs8usfBVUf+fnRZNLpB6wpqxA9SplHmn8OG6U6BXxWFRjl9c1AUwwXRB7khGvULE8U2tMHT9suGZrbyp/S+gM+Jjdh8LRdS99JA1vvO5SaMAASlFTbxeCL87BaOWnL5y6iSrUGX2taNq2ikDSIgyk3UxZLg5STlPTGRIyeGCMxCCMh++ZgQFfKBtSpyEhbJtMdZDMFjhTEVjRjxpCzuMcrJbq4XMqgNaboAyX3bYwVgOWs9N2rKpxz0uS4FHoImEPo6VMX1EdT1Oojf1jf/KejtXVEJuniNaP7OMbXX71B9dm/yHdffZUvppa0B6Mq885bb3Lz9geYbKgay87mJipnFkrhZzNS3zHLxXE6ZfbO7XJ8+BAfAm3X00fPMkgVndYKmyE5Q1IQvRhSphBYLpfECsbWibaETESaRlMAUxJnQJnvWIK6pEs7IjlPKWXx1NHi4J2jiN5jBow0DPc5YBGxthQNKULv6XworHECI/3QdGHelRbR8DxH7saeiTZsb0xo6o7ZsufrP7jLt965z1946RJ/80sXeXLH0dTQLTpMf0D/rf+Ob37v9zj343+V5372rzM9f7kURSTIAb844PDtb3Lnu7/zWOY3x8T8ZM7MOsauxlQWnaA2geP5nNnSU1UGVW2imxFVNcWOJ7hao/M+Kt5iPt/HNYG+qhgZy6QaMXENfcocHHmSrvGjihe++DP8g//k7/OFzzzPwdExb964wQ9ef42H928T2wWL2TFXL+3wk1/9+7z1zp9glfTQq5oJC98Su8D9+w8x2rJRj6R3pbcslksW/T7T0QidLE9dvUJ2I776xS9z/vw5srZsbO6CVjhb0XUdzjqqupYUv6vEmy1JGyTnnDBZMZAjpBjk+ilr9mA02ratlPPrnlHTgNH4KGL4Z59+kv2DwxWL0bUdJycLRs6xv/+Q8aRme1pBalHRU1Xuf3ii/g2HMgqFJeuwLvTSRcKirdwHWhdwsman1Ip8yaxTdHLPZEQUP+iMViVBq0C57FFKnS7eK9vRkOEZZDqqCNWH7hjrzoYZkYFI8Fzet4DW4bUEaHFqjTz94YdUpFQUrjHRABpVOSOrum0BUCBB2uqY5bWMGl5z9VREg0x5rkHhgLrs2Wu0sLW587Hn7JOlC1UqAKikCVcgqfxTIpCWY9crsCQVf4MyRgCVUcWmgUFndervnLJxQKHyWuC+AlV5zW6VcyXHmPNqwgeiYJWmGcACAxP2yKdjYJSGn3+E2cqsqM41oSm06cBMDdeFKmHFKh1aXmOl6Sr06HAcAy2bYkTlhC0VZikjWpKYCi0MKT4eo7vNjZqcenrfi54lB+ktpYczonDW4kNLPZoAEaMLc8DACpXzcurUZcWKlh3OzWB2l5PovyTqkhYOzmp0SthS8bUy8IyJGKP0VwxBtDcpFlAWMTFhbEMz2mJ7d0G7bGk7z8a2iIydkz5zIPq4mEsVIVlKn00WM0lrMUbhTMAZjTWWymasTRgrC4gwWTyS5h5m+PQYRKEgKXZZaNaLyFq0+aMBwOMYl7cm9E5z5bOv8Naf/AkXTUUIkboSpq52NbHzxG6JT4l5yoQEOiqUkqpTkxK1E1uEFBMhRnofebB/xN5eD7rCaFBFPxWR5s8eDdETQyCUXo9GO3IIgKT0yEkqo6JUOcYssWcik0IAo+h7SSMnhRiNAtpIe5CcE6HoNSIJV9jUkBIxp1LlhwR1qNIpQLQ3sp5ojFLM25aUFDEm6tqyMW6YVpbPPTXmuzfv82vf/pBvvfuAv/T5K/zCK+e5tFmhs6ZfBPRin8N/9Uv8wR//S/Z+8m/w7Nf+CsofcPjmH7J4+xscP7zPH78/fyzzm1IkxECXIieLOa7eBJXZ293hnQcdVdbY2lFVjbDRtUKpfWJ7F1XNcSNpdFy5EZWuaUyNRtO3AWMb7t/rUHbMzrlz7F15kj/5/mu8+sMf8HD/Dsv5nBAjtTFcunQZZ67RLloeHn3A1nSBoyEFy8FsTtsu0dESl4Z535GbSNNYdKpoQ8+yTUyqEZ/57CtcPH+Jra3zuEnpNpENKif6tidV0DQjnJM0vippQaleNyg0KSba5UI6MZTrwft+5Y+Vc8L7npPZCVubW4BUtA4ZGGMtL77wPN/9/mv4UDZwpei8+ID7nHj3xvtMGsulixewBGb941mjUcUuJhtiFgsHYY6GkH0I8Ad6IZb1p2QLih52KEKSzMAp5p312j1ohYeFSQ0WDX/KmqXKwj9U167+5cEGIkNUEMUOQZgzVV5TI75ZjzJQIIe+EtQPe+YqK1IgVV5RHY+QJioXEFeKsyja2SE4X6GHQuhQmDhxOhg28oRSccXMyWEoptOPb5/0yUBWFodYMWEYfE/XsmLFIDQefh5YJiW+Kko24sGiSOU1yzVI8lQ5s4/osVAldzsArfK3gdZbffT1+7H6ejolx498f3prexRk5VNfyhQmseLXA1TKa7ejASgNE54Gb5Hh2aXaAvKK9RqE7iuhYZZGzMoojLKSakyS0ogqSFmpUpjHVOH/zDNX0CkTglQYpmQJIeKsWV30xhh859HakpJfi9+HcQpwrm7OFatXaj61nEsxvcv0MTLdPM/21t4KtEi69VFGTKHWTuk5r6qCUorElIghEqInBE8IkRACwcu/gRkLMZKiLwAhEEKPD0GYj7gg9JEYA6Ff4MwSZwJWL3E6YbWjcpGknERA6vTVBEMIllkvWKf7KsI6IFh7cbHWGJTHDM99HOPSzpS3D+4wuf4Z7FPX2dzY5df/1e+glWXkGrknXcWi9dii/cgxSPPdKMvjxqiRNFgcNC0KbTVdBmfESRxrsEpAjCoeejlI6b1PkegDQ90PKJGKRFBa7BVEc2UFfEfRIWol7Y/QoHMJxZToSlofsFoi9C4EKl1hlSKkQMiSWkwhFI8t+VwY8drS2pbqM1AePJkQkojqlaRdnHZYB6nS/E+/9jx/+N59fu+d+/yj332X33vzPv/xV5/gp58ZMZnArs1UOrNY3uPer/3feP+3fpXNzcDFTXjtTsv//Y8+5IN7s8cyvyEF5osFk8mUOJYWL33v2dvaYnvjAKUbkqlJZIzucfaArA+oahiPp9TGYrSm74UJWoQW5wwpZU4OWu7vd1y8eIHdvevcvXuP/f0PmEwqrGvY3NzmqatXuXJpj5QD3/nOt2kPfkijjiF6fFaQLcYbdppNtK6oTM9y2dH3Lc6MOZnP2drZ5aXnrvP8My+yd+ESfZdBK3zXCYhSmapqaKopylhizlTGAIoUI9a5UpBi6Lu+ZBR18fyTfSGlzKJdlutX+mmOxyOsMxK0BY8aiihS4tr1p9iYjnlwMFut250PnCxbqtpx5eJ5zu3uMV+0hPAA67Yfy/yKZEZul8oo+ii9VCW1Jv5yA7uk85A1MCgk0E2r9FviERVxCZTXacRTgG39K/maBhC3bqtGIRvWjJcqXR+GfX0AVwK2VOmEobKQCis7m4+QV0OMKn11T/1yAFGZ1X4hNjhFKJ8UFBJIZBprUKbWKnbBFQOalJO0DozL59EMtI+co4Eg+rjjE4OslTNq4ROH9E1OxTCotFjR+RS4KrThYO6l83qz0VAEZqW8VGVxamYAcPqUJkud+v2AVssmNYAhpRis/1WZtNXj1rv+8B+Gsz0AgVJwtjILXQG1FMmhI2tHVoaB58pKFQBVLsmBkQqh9KiTF4xRgACUTdSKpgcEZKUkjsKpWCcYawu0S4QkfZ1SivR9z/Lk8SzQTzx5mffevEnftcTYo6gJPlLXNSkUBsBo6WFYbth16jTziP3Aikocfh7AUvmPotx+snmvfNCKISVaSdqRdZQklR929dwVmFasGlGDKim9NXcIMKwpKQvzEoOwYT704tDce/rQE4Kna5csZ8cc7d/h6PA9IkE8gstn0iI2RCvHulJ2ON61qe6AwdYLEYW6f/QGVWUhW8P1xweytmxgvj9nXFe8ees27y/elqjeOSpjSTnjYySpzLzrZcNJsSxCEglujRq6vi8RYcQAVmnGVY0vmkJNlsbaKWGcI4WAsZoYIklB7wNWg7GyqYUUsVqvF1+lCGFoQ5QxVq/S7ImANbZUfcudODQR1lqqjZZ+iUWJESnS5qTvfNkDSlNqpUvbJk3WIqz2XsC4tlYW47UuAZTh9qzHWcvPvXyBl69u8Ruv3eH9Jfwff/sDfv27iv/oS+f43JWaSQNNbRj7hoPlPQ4/jCxqxWvvH/HhrUOWj6s/ZYIQIkfHx/TtknEzYmMyImXFld1dDhZzsp5jRjMa1zF2MK63MMrI+S7p+mXfYYzGac3sZCmFIcsNfLfEu547t99nujXl/IUdrly6xOde/jwvPv8cxyfHvPfBe9x49weEkw+owoxKO3xUTKYTqmbE/v4+89kJVZ2oXCRHzYP9jq4NvPzCZ/jiF7/K7rkLwkCGHm1KQZWp6bqepCKVUkw3NkEp+r4n5YwzmroZMfgL+tBSOUPOEGOx9yhaPdEVC9NljEb1mslkTEl44JoaUHRdj1Kay5evcuXKZe7v/xClNClmfIjM5y3bkymLecfx8UKkMznTdwePZXq1VmQTxZ9QQ8ahlSswptgSZOn/qVVkqLYT0DFUBcr6LawRq4zPwLCvwBIAAyAbGKY0UAqPAiwGH8CyJusC2pQqGjBTcENaNWmW6tvyXgMTVyQhg6/W6YzIcKjDXjJUAyKwgbw6xnWwu9qOdFlnFcBAGuhSqcnq8w24MirZnbLOoHPpRnIqKHxcICunAGkoq9eib8lQeHtCaRthjSVbKxosY6XJqym+3FqjskGZU2qqYWKVEpfvR9a2ArWGDSyfYq8eQb1DGnFg0k79bgWqBgQ8XEwDvJUznVOgC56QFdZadA6kJGI9nRJ95zHZEbJE1hFN1g5SgJSISgtDklP5ysoUEcQjJw2+HKV5rS6tQFIMJO8JvSekhHUWZw3Hs/kqn26tJXrPyfHj8djZ2zvPu2/fwPc93vdAJsRAqQFbp0JVJsWBoVgLEx8Rwa8IqAFmFlEzQzQhc5PyQFtLY+fVzGWgiFILTF5FYfJvDcyEKRyM8YzodlZlvQLcVGn4qZXFUK2uA7m/0+omJ8OtD97nB7fexafMorXEEGlGgd3dkQDjot9SgxFvMd/90ftu4F5Zg6vhHK0eweozyOP+tNf59MbEBKp0wg+/8XVOHtxjVDs2xlOp4IpJWL1Y0qlRyqBViU4HM9it6ZhF1xfrCkNWHqc19agu5zEx9z21sWInAOJVFYIAuKKVySHRZ6nug4wPQtXHLM3Bh7SANoZRU7OYt1LpmhKt6kqKUNJBofjqaDNsMOBLJV0m07eeGCXw6XoR11fJgjV0eFKJ/vsgfQ7rqiamLEUNIBWCStHmyI15y+cubfLC+T2eeeVLfOOdQ379O6/zrVv3+JObN/jzz27xH/7YeZ7ZVYybllFt2e5r5qHiq0+dY3ta8euv3eWHj2F+YxESL5ed9BvtO4xRLG7d5NLeDjdOZuTmhNpqnKrQKEKANnVojbRaUppJ5ZjoMQRNG3uqacWdY9m4Z/NDtJaiiZ/7mZ/lC5//cikG0YwnIw7u3+TOm3/EzrimsiOqxpH7jtsP77JYdExqR4pwspRWQ90cXnj2RV5+/gVeePFl6mZK13a0XUtMkVE9IqZATJnp5hZKK6yx9N6LLEUbkVdoaPsOpyXZU1kn11oxgw0+UDknWYbhejaGEAKTyaSYropQOhVGxNqKqq5oxiNeeukzfP/1N9FK2jrllOh6z7xdMulq7j98QM7b6G2FqR6PhYPKoLMlZunMoY1HmQ5KpZ6sZyKKTys37IhopATwrO0IyxrJacF5oRbUkL5Xq8euDUX5yBolgc3glP/oSGviIxfR+VAsWIJK0Y0NwCWt/sJ6VZTfFKJktZ6uqBbWMCIPjvUS9K74r1UlJKu1OKtT7vBKk0vfR5UHLGFWsgJZadSp4/7445NVF+ZcDP8SqvheaPJ6oyntMEC6YscMqRi4QS6lmKqUv2usLWaESqoLK+eorGWoKsggvlJalRTbsEk9OpFDhAsUdJZlrootwGm11Qq4lzRTCJ4+iiZoYKJCBhs8hkjbedogTs5d69na3GBcWxQWHzOLdiHmhqxLh9OqGa1EYLlYVjhrpA2RMoX5ynLxoaTnngFdKXHnVbLYL+ZzmtGYGx/e5NzuFskn7j98PFHS9tY56lFDTAKYh3Y4Q+UGSkCvsQrvPXVjiuuwLsL2YQrUj1RRwhpQDL5bWRX/FVUAO6KnaPsWEKBrB3f2AlDkWtGFQTJlI04r1mt4XDzFllEWCD1EK8Mo5oNDmxtZTTJd10GSm3Q82WI5P6Lr5mVRVlDa5+jSRHR93Z2KnFbvVa4+fTruW6fTOX2e8ikG7DENpRMPDw45PDlko6pwzZiYS7+1rmPhewlCii8VlGtZG4xWNNYyHTXMZnMMqZDXIratiuFm3/c4J95UUSliivg+ELpOQFUKZNWAVgQfkPRNQGULOhPRxBhxKpfbWOPLnMQsDtHWOXzwYhuhNClkYcOQqjJnhW2OQVKPPkQWiyUhBXHrVwqvZa0ZjcarXnMxyAbsrFunKlQJ27QiRc0b95e8fH6C84Enrm+yef4cO5sjfvP7H/DGe+/xT9885hs3jvhrz2/z11/Z4tpuTaNbalvj6wmXd7d44ZzhV779/qc+v5WRc6eM6M8WiyUbo4bxuKE2Fc9dvsS9hQi/274txQWZWomn1HQ0wmmDiZqxHeFVIlTQ+p6qqiVVlTLGwGS6wTvv3eW1N36Zyxd2eeUzz/LZl57nM88/w7vfTdy8f4+NDcf89oJu2dMuI76LpIsb9EGCyWeuXefpL7zMs8+/SONGjKe7LJdL5vM5WhmmG5vFvVyxubWJtQKiYxDjZK00VeVISpXWTYpYCqu6tl15KIlYOtKXzgs+BCaTKdok+r4j9B7jLK6u0QiIc84xGjkkY5145ZXP8//55V/Bewn+Qkj0fWC27LniGmKULgZt31Opx6PpUEbWNWMNpq+k2l81JCwZDzkVP7lhzR7YIEnJiW6RR0BMZr33DYFmLhSHVAvKej5YzcCaEaS8HgODNOywQ8cPpcg5SDCWhz2lPGwAK4JoSvcQIXBSTisos2KmSgC3aoe3IkvWn0fWzkezGOXMnfpvyRcMhpysVmlAkUtKWmyD5E3EFmKty9KPvPb/8PhEIKtxgZFLxJICrIwwGSklUlBYIxuicxpndKHlY6k8lIuu9wFtxJdEqYTVqogPwQilA1p6nQ2aC11K34fJlA2sAGTWWqyVC8MwcysQezqDKr9MZbE3KmNIUtEXIJSJ1gOYy8LahJyZty0BmLuqtBSSG1sqUAbBfaFS45ol8WXD1Vqq8waWasgh5yTpqzCowYsDbh8jKSZ835FRLJcdi/mCtl1+kmn7+PM7mrC5tUHsPN73Q9EgKaXVxq8Qwz7vW0bjKeDLeVi/zqrwoDx+uNlUiWgGhud0GlAVQac1lm99/Y/5+u//AaPJiHEzoqkr6tGIqnKM6obxeMx4MmE6ntI0NU1TU9UVVVXMQm1p93Sq7ZNSmrxinFKZ30HRn1esZs4KH/wKUMbQsb9/j6vXL1JXjUTHxpC1xSgRbw+CWoVa9SxcXZd/CjGlSrCgC2uVBt8aYFhkHtdYdpnD4MRjrK4IKdP2HX3bQU5YhNJXCbDglMFpKxyj1jRO7mOfoojJS3sbjUR9bdvi6galFAnxEvJJWKYUAm2IpOJDpBvIWu45HTOJHrQmxo7eBx7OF1IqHyM6Q9u1EkkbDV56XE5GI0aTCaN6RO0qUogkJYL1ohGAKP5ZbfBEH+hDwCmDdcIYp6WktEKOpCDtY2OIaOeE4UNJgIkwdw+Xnvf3ZzxXOVgesGsqfvKZEde3n+a7z1zld77/Ju+9f4N/9CeH/M6NY/7253b5+Wen7NUJaxJ1U+HOPZ7qs6lxtEjFr1aG2WzBxfPnidHQtS1b9Q53Dj4gE9i2G2igmVbUpuZ4PmPZt1RNzXg0oU+B++0Ri37OhfE20YJVmZCE5bx79z6L5be5evUKLz59jd2dXbJPbE2ndPOOe3ceEsMUv0x0LVy9dI2bd+5xdCyi8Fdeepm/9Bf+Els7FwhRxNv7h4cQA5sbG2Q0rqrx3jPvlnBygrbSFklp8b5CqRX7OugftVFrSwOtiydWRsXCUqVEXder9bt2FUYpQkr0y5a262hGI+oUcbGiqiqqyrF34RIb0w32D49RSuN9oK4qJuOGw+MTzm9NmB8fkMOCZrL9WOYXZYum0IhmElnbWEMlYGBtyoaohCkSWUJJqa8iYh4Rv68IiYyAnnIipVqRIRos2ZWMtMgpmQDFCkit1ntgcLJMcaj7S+ikpa+oKqn+NLz3QIwUgKXK73MuxVOZRz5WIXkoGqyC2Eqqn8JEFZeswlZLNeOg7D4l38jFHkMldDZoa1bHrpVeafEeLeP6149PBLLatgO7JEYp5Y5VKGi2bJilbxnZkK1Zi38LDauUojJycxhTLB+G8sAMOkfpxJ3VylsmpogKpgj4HgVMYgWR15I0dYotWYECvb7A5EmFLl1fGJWVY7Qq0PmET4pQ0n6qvK7J4tWsEXCWkhfXaTImi5laHPZqMqQsbtV5XTGZC/OhlKJySoBoFpFljNDHJELLnEu1Q2LZdrIJhsQYqJsGVz2eBsJGG87tbnPn5gG+74nRk7OUQwvNLkJaU2h51BYpthhjCF4qxGCIPIZC4DXQWKUJ1Wo2WMGwU0hk2ba0XSSpwGJ+XCIKhQ/l+hhEmiVS08XI0mpDXTmquqJuGkZ1TTMeMR6PGI3GTKcTpuMJo9GY0bihHjVsTDdomtFKp5ERw0utFG3XgtI8+8IrtO0JxorFgyogSysjRQrGFBBtTqUzkSiysGmny5EHXi8WlnUA5kPU+TiZrHszOA4J7RwxZzofis4lY7XQ6xpLZSzKaELwHHcz+t5jbcXWZIfeBzF+9IEQExHpqeZToosJHaW6y2RIqlT19Z6+95wsW0IMbBtDriR48V4ixt737O/v884HN5idzGjbJSEEYklRjKuGZjRme2ebxWLJZDLmwcEh5MyoqmVjHNXkmNmcThlPJoxcJSC29OAMMRFCBgdJiXWIUhZVa/oQCCHQdp6j5Yy6aYidsCEhgU7Sw09px+sPW7bqBdzYZ2d3SjOueXY3sTd2PLf3Bb7xzlW+9fo73Lpzm//D797jX7x+xN/78fN89akaBwT6xzK/10eWt3zGWoMPPSlXdF1PUzekpMjLyG59njYdE5CeoT4mRnXN5tgyiQGjHW3fseiX+LbHKjhZzKhMzd5Owwd3Z6ScuXhxjwsXLooG7OgYYxzn93a5d/t9QrSgHLMjz3NPPUNTj6jqEdVkwtNPPsH160+yd+482zvnyWi6bsnR4b7owKwp1iAe07YopbDaiukvCldXKC2GtzHGlUltVEpE1FHRdZ0w8lE6UjhbUdUOtLRQyiERkzBhy+DL/SqvObVi17JYLFAsqKxjY3OTrY0NPvfZz/Jbv/t1QgwYI9Wvy/kcoxS37t7l6uXzjHcv8dnP/fhjmd+hwXJSSWROJqGUW4GKVZ+/gZUiCwA5RbwMhVYrITjyNa12tHUxWSH3V4vSaVmIPGIodpMx/CnlLF1cNEgD7kF8bkSjpQbmTADPUEiXBlas2LmscF15LzjNOnFq04dT5hNQXnXgWwoSWacMy8dTJSunTNGeZYNK8rN4Zzk5wsLaCTXyyBH8a8cnAlneR6og9D4J+i6jTfG2QkGymBQgGQFG5cCS1SUtWNrJpEDORiKMWBiFLCk7xbq6Sh6ryMas2gDEYW89dbr16sHgu57RuF6dxD4WP5SUiV2PqqTqSdJWIrRLSZyfU1T4nIliJi1qjpLnJis670lGD25Qq80yx3VjUVUunlwEu5LLZoWgnW9JGrrelchCHiv9kFLpb5YZ+jf5mDAJckrM561oZdI6l/xpjpRg7/w5bn/4kN4PuqwxIQSaRsTvKKnUyUlMKHMWfY1Sj24a+VTzUBSrQghVTOTWZ68wfwM1qQVYD8KBPDi8K7FSyEY2S6VtiZhKtFUiOqkMyyxPlhweLUkciMYnxgKsU4nQElkp/tbf/Bv8xJ/7qsxDuWhC6EBllu0CV4/pfKaZbJKVw9aGhCMrV6RZa7ZVPtsaSA53/+n2OgwBF6zSsUreljwUeTxGlHUSAiEotJWFzHuPSglnNY02JK3wMdL1LTFlnDNoYzE2o1Lg3GREGyM+JfoYiruzRLohJnyMaO+lKDsLkOlDIHpJ7yyXLZFICDWt96Sc6dqeBwcPefv99zg5OWI8neCMZRak0MMZx2Rrg63JlK3plGY05tzuLuNmxJ379+j6jo1xQ+89jZ1iG8vRwT7WGPplS/IeY4WN876nD4EcLc46amexJtP5RIpigeCjJydFbRxLOmJOK7ZNGyAr7i4SR4tAf+Me797e59rFLS5e2GJno2Jaey64CS+ce4U/fPsi33v7XV5/eMB/8as3+akXlvy9r17l6vYnWno/9vDnA9yF5TLR+Z6qcswWM7KCUFdsb07QWO7PDzA2M9JjxnqMTlr8w7TieH4k7GPwbLia/dkSpQx7mxOeuZJ4eNix8JHQtuKlNhfdaLdYsOw87924wf17xyhlefHFZ3jmiWcZNRuc2zsnDuk5U9djYko8fLi/CmStUYTocVY0PuNGmrHL2lmsVowhl3WnLcaxqRNmuu17ac9kjbDRWcyFJ+MxIYihsU9ezEa1pu96fPTCbDXVqugipEjWilFTlUrLSNd1jMyIl19+md/63a9LSx4lla2p6IQvXrnOV3/6p7n+9Iv0/jF5GeZQiAJb9JIabVTpPWhKxievdZQrhknWU+EuxJxzWHvL6slqVx360Zx6Ho8Eiqs/yvqbH2WEhv+u7I1URKshhSlsGsWIVD5EWhETH8WHgznD+nXXAfuwcA5M3FqekR598OnTV8ibTF4xgqi8+j2U9TdLunDVBhAnEikFDGnEjzk+0Z1+cjwTT/eysRilcUb8gpQ2JQ2mScaSixASJR47sbQfGRitwdjRd53oPYwh95nlsiNkQyjmglqLSFXaYJi1KytiOrmy81cKgyK0LdZI4+HjkwW3Do5QOVFjYL6A7Q2euLhDZTS2UM5DGm/UjOTCWTU9GqonVUkvRtrFAjPdGK6xUi2R17qePKQAB1qrsC/aklGc3LyBmYyptnaFOs2nnlNo01RYthil63tOgfnxCWpzgxASJ0ePR/juvWdnewdjMyF4vPfkXFJCgxhw0B5paUarjMYVfHRak7X2r1hfuI9ih1OgZCWHlxs8JzEJpTCBWsvCmpJfRSw5RyGBswAT9NAWQZWbSICEVQo7sJqFXRoWDKVgNNkC5LocShClnx5s7ewyny9IObGYS7PQ0WhTBN7UsvCXQEKajJYToQRYrTULeX0O1qcEcsaU8mJW0ePjHc5qssoCPJMwUMbK4rzoOlrfCXg0TtYSKyn+0LZobZiMx9w+PCYELw76pYVHHw2d73HLFh2CVBUajQ+R0AdmXct8sSSFQFU5FNAGz72DA955+y3u379X2h0p2mVHZQybW1vEAgIr52gqx9bWJnsXLjGfz3nzrTd5/+YHGOM42tyirhzLXgTxfddzMJuVytXSNsUYmrpGG4Mns+w941HDyNkiGM+oBL5vZeFFAhqtoU0wsuICGLRhnhS32sBzI4vqEt9/8x5v3zrk889eZGujYW8jMtIdV6abPH/px/jN125w4/Ydfu+9BT+4+w5fe2rzsczvuasXmccFD+8t8cFzcLBPXTliymxMLuCDZ6TGVGrMyckBo+kIoxUPT/Y5mc1I2WO05uR4ydg1TKYjpnaCCobZUc9y0XJu0+API/sPH7C9s8PxyZyT+ZJvf/f7XLxwTlgn17AzmfL0E09w8cJltB2xsbmNNY4+9Bwen7BczKU7gNMY7ZAiBWE6jDVUdQVK9DkxCnjQSeYkJ7DWUDlHNIq6aQqjLPtTXVX4GHGVK2tTj2JdEtU48f/SVuN9T9f2uKomkIQQSBIEpZQZj8coo5gvF+ydvwBA13uq2qGNZvv8Bf78z/w0X/nyj9OMx7SdZ/6YKsBRpZBKZVKygMcYBGARGdrkpKzEtZ2S/lcw6LxXmtC8dlqX2rXM4B81OMAPmta0coSXvfcRZr6spae1VlqtJT1SxasgRxRDsFvWxmHVU7kEo6ffR0YarDdWkhPhtPQK6A0KqVMgreQTB+nGQGGtq9iH6sWMNkMlooDOlJK08lrZEWmcVThVuoacEsF/nPGJQNav/dpvMNnYYnt7k+lkQsqKq09cl4kHSIFRXbF3YQ/j7KpJpjMimh3ajFilsFbADSpz//4B77x7i+2dTWorRo/v3LxDzApjFHVdldSEnCStKDlioTdjOtU7EbVKJ7XeQ0psL/bZ7o84bi6x3+7w5N4m53bHrITHDF4ZXpB/GpzF1//IkIKnGo0gi4fMEFHllAhBOr0P5cOpOLT74xnzxZxq5zwPHx6waAPnpjWjZYvve+bLpRiOxsTJyYyjoyOWbctiMcN3npQyXbtkPl+KziXB8dHBJ5m2jz18H9k6v8F4PCKGHt/1q88SU1pdqCgwBoL3VNaCDoVVGioEMx8RyMkFjy6pvzIK2sh5+E/5XSoUcmEaGahmpDJF+nKtFwhYi+nXWq8SwTFUdwo1PARASlvy0L5juMWURLI5xrU4H0lHKgwP7u9jTGJ7e8zG1hSl3Qp4DpWT65Xl0XH672qNRssnUKd/fKw+WfeWPZPRBvNOrnUxc5X+g22UFHjqe1Aeg8GHFqMMm+MpW9MxSSuOT07ERwgBiUprYoCuD0BLCJY6y+fwQdKR87al8x6tYVKNSUlx48aHfP+HP2DUjLiwd4G2bVku5+QU2bt4kfF0ii/X2NCIezzdYNG2vPXuu3x46w7tokfpQNt1mAzNeEwK0oNw0GwI3VGCGZWpnGNv9zy7586JqHpU4axIA1IS+UFI4uOVgRAjzih8Slhl6IO83FuHHU/ujMk6seEMR4czfvX3T3jpmUs8d2WLUWV5Qnfs6My1yTX+6O5l3rl9lw8+uMn/8/dvPJb51c4y3tLcfxhJXgKKVALF2aLFt57JqOG8u8hJd8RMLzg8XjJfLnDaEHtwCrYmU1JMHB/NJZ2bDSEuONpfcHIUcKqh6465detDWp/5k+98h2vXr/P8s0/x9DNP85nPvIhOnt2dq6Ac2lgO9w9KD0Fhj4gRV43QGpyzaA1GS7eFCISc6Ltu1U9Ua2FDnHUYYzHWELwnZ/B9j7Zi15CKKHvw1IsxMRqPi42ObMS97/EhYrKmrhrqSmxJFJJhqaqKZbtkVFcslh037z7kt7/xTb77/e+xjIqd3R2++qUf4yd+/Md54qmnqV2FLlWMwCkLmU93SIyZSWgqB0s/MDOnHNzT0GdveIZePUaILQkmspJWbVKVOPhmiVZ6pbEaqrRXuYfhNQusWSOr9fEptQJea/SVCrCTjg6JwmwNacG8zn6sXkutK8rlNVm978CaDXKl9T6jV0zWEMQP+9DpKZE0YgGHilKYJI8VIKghSwYuqaLvzKEQAZEUP74FyycCWYf7R5ycLLl/9wGQaMYb3Nuf0Ywa5icntIsTTIZrTz7Jcy8+x2RzglaqtGDRK4Gw1gpnRLinyTw4OOIHb7/P3rlzjByonPnw5m3ReliDrRwpSGmpIGTRgZA123uXOX54H0IHCpra0XuPVBZKtVrXzqnTEjtSHB+f8PaHH7K59aJcEEkuLq0UMQbmszmultYMg5ZmRTGGnuwdgViiibKLl4azKmkBJTlzf/+Am3fuce/BPvcfPCSEnnFVc/HaFUwz4v3jY/xiQT0es7GxSUDz3vu3Cd0J08mErfEENYY+RPqmYWNjk85H2ajM49mE+y6gtWN7Z4uD+ydSdRMC1or2wVokGkCYv65bUI+niJjSlDTnKRargJ0V/VpuKICVbUEuqTvWzxmikmFBEEreFKq7RCZJi9ZRy42rs0bFXAKkocokCzVOoXyHPl7A0OKnOlVFJhFaKX5QpypnslSuzRctB0dz4JiYYGt7TxyXB1BUFoNVi4nyuzz8jfX5Gxam0+djhWB5PJVJAB8ew8PjfZwbYZSibhxQ0XUtOUeC71BoGmsYVzXa1TRVjQ+RUVVxMpthSZjKoHHk5PA5s/StsFspEZMjZIlmQwjMu5YQRDuz0TTUznH/+CFvvvMGly6e40tf/jyzwyXv37iF1hcZO0fVVDRVQ6gim9vbaGXYP3iAM5obH3zInbt3WS5bSSmkRPQJtOb46LiwaKWxdBbheo55lYr1Xc9yvuT+/bts757nyuWrjEcNWrFKbWatMYJR6JaByZYrbZ8SWYln3YOkOFwmpha60GNJXN2oef2NW/zgvXv81OeucmVnyuZkwQvMOW/h7s4Ob+5kfvWbM95dfvq6rA/u38GliqZy6GhQKA4Ojxk3I5btgtHmBG0Nm/U2928F+nTMeFRhlOVoIfqnHDIHKtF7j0+BnKFtI9Opw6A5OTnB1hntDMcH+2TbcP9+Am349nde5e//x3+blz/zOQ7v3eThwwOmG2O0nmONorKW0WiEMTU5U8CTNF1OlCqu0sw4J3CukpR0yhhnMOUeDsGzbBfSNsc62rZDWU1V1cQQALOqXO37XhgPrTHaUlXiK2WCsCpd32GUZtw0dH1HU4/Q1nA07/jWH7/FH776Ou+/f5ucPFfPneev/4Wf5guf+yy7u7uSySitbLQ1eO9BqSK1+PSHQnRnVsn9lbWksFWORW5SBN15ELVAzrrYJgyBrLQ4y8P/EoWxYpVVSWlglAreKszuKaroETYL1muoJHSEhCAP+uKMjRmbSlFbloA5FW/IdVqS1bHnU++fC8NUFCWAdIHQea35TUWaUz4IOUtRzuBH+VHjhaxyqbbMEAuTpnMBamWPSIEmZ1LXsj/bJ+VAjLB/dPix5+wTgazYBjQVvu2Jsac9mXN49w6uqaVFhtEY63jz9de58c47fOkrX2Zja8R4urFyfVbaYBRo7QBP8oG29/Qp8+HdB2VjymhEpJhQpKBRWtpmRF1yrlmxMRkzQnGgFdpWMsHaieeF5DCBwMFoi6Xe4WldEXLgZNbzwYM5ATA5MXUaZ+Fw/4A333yL8XQCKXHl8mW2d3ZXbNds2TPCkPuymWotthQpi4hZaVKIPNw/5rd+/w+49eAezsgGppXm5Z/6CpeuXGUZNMrUVHWUm9JodMo4Z9kYb7K9tYWzFTFGll0vveF6j+566PtiWPrpj7btSBHO7e5wcO+Q4PuVm3sIHucaZMuSzu++71HKEqMYF0o/61Nqq8IknC7tXbu5n6JuWVO3rDRWCbKjcFHr52YeZYoyhTovFZ6F4h1S2ms/rfXz5enFvdfIor0i0oYFptzUuTBmIUR6H7hz+4CtrUv0feD46CHbO3vrQzkFrlbE+voNObUarPULp2nrcs0+Tk3Wh3NN1rVoWqLHBymJbhcLKmMYjaeMRqKJ8lGk+Yu2o/MdG2NL17bsbm1QV5W4ifvAoutpAyhjpEo2yEJrjADbzdFYUjfGUtdOZrNOPPPsZTYPW56cOPr3b1NtbTNvLJ2PxJK+HE/GdIs5m9NNzu3ssGxbbt65w8nxibAYlPSHUqXpL+I0nTMpcArYlxY6JAa36xATy+42SimuXLkiupEoVix1caY3yH1R7e1Q6SGZkghJzs+9RU89UuQQqZz4Tl3fabh71PJL//KHfOaZPX7ypYtsTkZcajwbVcc0Gs595Un+i3/6vU99fl/7zh1qU2F1w2i8CaUF1eHhEZVVsLEBypCi58LuE7zz/k3aWUvsl3Lf6UjfeshLnDNF86PJyXF8lDAmo500ja9MpM89OUJQioP9A96/8SH37+9z8eI12oO7jMdj0b6ozHgykUBHi87PVRUpJaqqYqw1vQ80o4msqTpL5WdpeRRDxBorACYEVIbaNTIfCiaTBpSWYqOUsLpC1TXaGpyVSk7rrADGvmc0GlFrRd97qqqmnc/Y3d0iAh/eP+S7P3yXb3zzVfaPZ1za2+Fnf+IL/LkvvcLe1oTxpCHnjLWOvm3RlcM6V0CArGl1/Zh6F6LJufj0URhyY0RKg1oVWuUhHZdPF4YlcrGJERl0AWoDcMpF8q6Gin4BQZTAVhffqY/6Iq6OTQ2aW1Z9iFe5BaWZuhHnxzv0vhNj81Xwu2bdHrGBQIDOsDbrYf2EdbC6OoaSDB6UHxmpQqY85JQdzaqCsrzPYKmk9LqCGCWOCFYprtdjGm0ZTzYhZ2IKdJ9Ac/eJQFaIHpM8ylqU2xCadnnEqB6VTtdiBqiNwcfID159lexPSD7S1BXLxZKdvQvMjg8Zb23TnshzL1x7QkqnM4Iki1ZkaMYspfhiNmeVRWnFzuYmV7e3mJ0clX5IIB4aHl9SW1prktjqSKPamAg5cfNgTtP19J1ndrJk/uE7hG6BzpkHDx+wWPb4GNjb3WX33C7ei6mhyorN8Yjjtsc4Bzmz7AO753bY2d4Sp+RFzzvvvMc7775H17ekELFNTVXVvPHmu2hbkZVj0fVMa0P0vVDMpQJy2JyHOCSd+n5l3PaYSvzn8xParmNzcwttDZ0fdFlZ0qErgCReVTn7cm9mjDVQGNTTosTh51MwS9KsQgEWKlqvXmdIpaUcSub7VDST16+/vr8HcCa/SKlEW6cWvNOARoYG4loLeIrJGuxEcqGzh/QDZJyrmM0X3Ll/i+eeeYmMwwdwlUArnVg5jvc+SGuikvK0JYLXWgtRtYoC1akvwyLzaMT1aY5lgr7vhRTPUl1m0WxvbQp7W5ywQ4ws+47gpRVG9uJBpa3l2qWLbG9M8SFxcHTMvYeHZBYYrbm0t0vWmu3plGY8orIW5yxSOakYzY/5g7ff5Nvf/T5KJbarGvv1V5kdHfLX7Cbtk0/yLxbHvH/7DgExory6d54HDw7IVvPg/n0ePHxI23YrU0OlEYCjlZiSlgrdVfsMLQBslfoom4YUvSQ+/PAmOUZeeullVIbxZMy9+3dlLVOKWkVsVbE9GVM5MWBufWC2bDnsA09OKmxTia9d35PtGLe3x97Vbf7VD9/hj9//IX/tS9d4+coWzXbFMzsbTDYfj66ymylSndH0TMaakDpA0fUti7bj9t17XL1ykdnxMdcvnePD+zP6fgzaYzT0/RxrQ0nPlKbbKZb+eBplHE4lcvaMa81LTzzBD9+/w8J3dJ3h5q07fHDzFl/5sS+yPLmPzT3GOkkHKl06WciGXdWVaK0SKGsYNY6kJOVpY6RvOxKZeQzUVS1VYEWna6z03BSpRaTSlbTH6VqqyhFTYr5YoK1hOp3Stx2udiVoTCznCwGARsyG3XiLt27c45/97jf5/ps3ySnw4tOX+Qs/9UV+6sc/L1rGlEghklMWm4dG0TQjQorEKJ0xQNaZ2ezx9KZEiT2H0SUdlhVWV2uWZkWID8JzPdDxMn9KQZFsaG1K4UoRrmu1kkQJwzUwYacsZnJeZSB+dF3908CXBMkZzf7imJuHt9nZ3USMUKWTxBD85vwocMl/2jJYPttpY+e14N6sCBFV5CkUoJcK0FsVAhRWbsiyqBIIUNKWWov2KhrDG4cPeX5nCynn9HKS1WMCWdYYmqqm7XpUmlG5CVefeIakoV/Omc+W6BpCuyAuF3SHFj87IIeAUTCabnK0v49zjuPZHJsVW1c2uH3rFvfmPdZamsqyMd7gievXuXb9OoqMsRXKVcSsiO0Sm3vcZIt2MWP24TuM/BxTFr8JFSiPTi0ny0zfZy6d22G3bhg3MDla8PYH91ksFvhuTrvw6P6YUWUwWVElRZcS586dJ3rP0cMDbu/vE2NgA0XXODoU2xf28BEOZi1HR/u0Fy5gtOHBw31SCOzfvcdiNqNuHFefeYZl3/PBrTu8c+MGL7/0MjvnLhAtxJJiUXmgeaWZrTRRXjdSFnuIArQ+yaR9gtEu5/jeM93YoBk3YtTa98WpPq10UUO+W6tc2u0UQ1IpEn1kDLL2XC50SrWGjPX3a2d4UMqQVnZvJSW7gmgfubHU+nzkYanJg8B1zZKdprlXcYw63RaovMKgGcjCdMTim5Zi5Pj4mMpajGoYTS8wGm0IQFRybnzyHD14wGJ5yDNPPYstLYJSzrRty8HBAefOnSsnZl0GvIaiA9v3bzZ/H2d0bUulLSFGbFVTNyNhYlOpoCvna9a3eO9JXlrsGBSuNuxsbnH9ySfZGo+JPjCabPLB/j4xJRbLOZvXr7K7vculC+dxTlI52miOTmbMZnNee+8+f/jqD0h9YGNzk82dLfy5CzTnL/LHxyf8T448pt7kfz97m1nXsc8B85NjNjd3ODo55vDhPstlW1LJClc5rl2/grWGHBJL70lRwP/JyUx61xUX91Wl8GrhF+AXfODmzbtsbG3z3NNPcbKYczCbSaWkUuw1muQTe3sXubS7g+8Dx4sZdw/26ReHJK0ga1plOBmf516e8DBa6jRivHeV/dmY/+r3bvLlyw/5az92jYtTzcbG6LHMr6snJK0wrsFn6fWoVGbRtrB/gDm3Q4yJphnh/ZKLe9t8cG9OppPG2maE0RGjbQk4FCTp42eNzKVKPRfP7fH8009yYe8ck+mUb3z3LYiRk9mM997/gC9/+cd4+cs/xXvf+wOC7zDOoTDUdUVWSlpbJbC2RhgGjbMVXeghSRVhitKAHq2o6gprbWEcpADKKkUlaIPlcglGAhllBBBN1ARlNEdHR5zbOUeMAVfaleXSyuto1vLbf/BdvvfmBxzMZhit+PwL1/jaF1/mhSevEHKmqR1aiSWGjy3WaabT8YotMWUjHwJSCe4fU3WhisLODmF3LhkiVFnfBnsEsb3JRkkqDGEacknfrdYaLT6IGQHRQ+bhtFgchqVzvdKuDqcE0+u/DwHwOniUd88EBR1ioRFzRhIyw3usGbLh/T6ajjz9pqugvdzTK7kHgz+hWr+eEj+u1Xq7iqoLaaGEeRteU2FIEYzVKF2RTSWHqYr0IKlinPrxxicCWYvju+h8XMq+M0krbp28g1bisWSqhhzHWCOVQFpp9PYu2RTTMS1m2UYbMJLiWfoDlsFDiphYoX3DS8+8zObWBvOHN9kYjzk4WdDHxFbUnLjM8f4DvMr4tiUu52TfYvOIGANVvcF4Yxunt7nmaqa7u1zenrI5atjYmvD2W2+yOHmN9uAGO6bm1sEBBycHXNg9x5v3H7CxNeXqE1dQRmOtMHTbO9fYf3CEArY2JrReHNGzMpzbnACZdtECMK4qFrMl0+kIq2E6qbHG0i2OSCNFjJGcJP0UvGhWYkyrzS3EKD9r6SOWQpJ+YikRS979E8zvJxoxJryXjWVjY8z+QxHfx5CxVj6zWTnfKqyR5rN1Y1HF4DOdzuRlKJlyTlccDjdwHhzbS8HAUGmpTSmVHW6SjOgeBoYsDy9eNoHh5lKnb3JJB55mv4abCFUsM5CWLXKs5dhSJCVpKt13Io5VCrquJybH5778U1y7/gzG1vKuWc5H2y3Yf3CXbjlDm4SxevW+Bol4j4+OVseBOr1UySegpLrWIPTTHwmoXcVoIpsdGdrQ4kPAao2zloQR/4Us9gvZAhiqyvHk1Wu8/PLncZXDh0j/3rssO49W0udt/2gGSQTAVeWkYCUFjmdLlm3Ln/zwTfpFh9aKGDxWGWxlOTqZ8e7hPnvnKn5Rb/AH9ZR/fnSMT4mHvWfUTJgdz1guOnGuLumSp59+gt3dHRbLJfPZCSF1xBCwxknlZonI4ynYvT4TarVJhNjz1ltvs7mxBVna6mi1xKjExa2GD/uOy1ev8cy1q7R9z4MHD8hKcW95wtJOOEhjDtwmh33ieDajahSpbRlNRmirGY02ebtf8A9//U3+4mfO88WrW49lfnU9wTiHq8Z4NHUVyzUdVwFJ17WMRw2hX/DslT3uHCVCFGZPGSksQg9l/hpNoDJSyTdtKq6c32QytkwnY6x1vPjkFe48OOK928d03ZJ3b9zg/r0HPPHkdZqNHXI3p6lrlLZyL5OlRVgIxdlbuoks+xbnXCk8iBjr0EZRKQERXSuZAR8CzjlpFl0seLq2JcXEeDKhqitGTb1iKc6fO0fbdozHI7q2x1rH3cMTvvtHr/HHr77Fw4MjrNX81Bde5IuvPMPl87s0dQVK0RiLD2KgPV8ucdYRk8J3vhhUGsk8pIh1Vtr3hCAykMcwcjYkjHBRyqCQtkmZUNbKASglucRL82OLKZ5wQ8oxrQ1Jk8gphrV2CGY/krkr73/6+9MaWxh8qIa/qQGkqQTl+FTOxOSBXDrApFWBggS4eUW8oSQrMPBUA4g7hbDKkQxgaihzOb3PZFBSja4Y0oBDxmNIf67fU7Ys2YNyAaFaRTTSyFpniEo6WXzc8YlA1nQUGVnR36Bd2SiLS6qGrDqi8kSl6csJNqr4GRVvEqWlb6ExRlpg5IRVMK5cEchHPnjvh6SYmJ3Mubh3jqp2vPn2u2xtbHG8XLIx0nQatDJCm+ZAowLJz7i89zLjfgvaTO5hzC6TyQYbuw4/P2J7e5sqR+bLyK9/5w/47MsvM6k13vTkOhErmHVzur6nqZrSIsdw98Ed6saS8kM6s8lksi2AQKfiZi+OwahMV5zap1sbNE1F33v6tke7ihiDLPcZbt+8i6s02xeE6YshELKYNuYkF5j3Hh+C9GdLqTTsfTw+WaDwPhBjZmNzgwf3j/G+I0UPCNXu6qosjAltNH3Xio4i9xhtpNdjWdzkRhgAEKdy+awiCcq3Q/uLnDPGSOm0CN1PiRbLPYNWxRtlnfoZelueXhEejYSKGHRIKyI+KUN0LCSbvG7wnq5rabulAF5bce3pF/mpn3uRejQt8yevnYLn8HCfw4P7xCjNhTcmU773nT9hPltw9fplnnz6WU4ODtnd2RUNhBzO6vgGOLYGXo+Lq4SN6RZaW0LwhCxtCaL3pBiI2pBCuc6QVGciYaKwdTorrl65ypNPPcX2ufNMRlPc5hb/5J//OhhF63vavuN4fgIq4awjxczxYkbbdtzbf8DdO3ewxmC1JvrAjdu3OGwXnNva5eD4mP9mfx9/7Un+7gsv8scH97nTC9DNSKeBQbtmjOionrp+XUTGIdGpJSprQkgsZieEktpZr56sUgT6/0vbf/VatmV5fthvmmW3OzbihLtxvU1bleWa3epGkU3RAS0QEAQRkB70BQR9C70KeiMgQIIAkYTIB0HNblJEtarLdlVlZmXmzbzexA0fx5/tlptGD2PuHVFFisgLZqxCZlbce+JsM9eac4z/+Bv1fETigxBgu67j63tf8+rtG2Q6UmU5hIxKdQxtx97hdd75zvdZLhfU48dopTk5OedX4YB1gKEJZLnBFqWETccWbQxd18koyU7IR+/yxw/O+PEX917K+kabk5UzlC5wxmDalszIM9d2PU07cLlYUpY5o9GYcWbZGxUcewhDj3MerEHrDKtBR8f+7h77swlVYbi2P0OFQFVlXL9+XXI985x/8gcT/vN/8a/pA8znC87Pz7h1+zbXb77K1ck3bMbt0ry0uGFgWo8xmU1FsxiICiXhuZKsH8TNvRt6rDZEHynLnLoumC+WXM2XjEcjdnZ2GAbH0Pc06zVKReo8R9kcm2di8gx89fiYH3/4Jb/87CE+Bt557Qb/7J/8gJ3phIO9PQEDvEOFjN4PmELEA03TbCkT3bqlLEu0heVyId6G0vkJ1yx7OXwsAHRErD0FQdOYxG82qOiISNaujPq0jP9CICahVowbg+x0v2y4oMl4e0NXiJtO/gWV+JbSof5e5QVsMKBNwaP1iyiSFMk+KMDggyIGCXyPaTPc+HttpgkoKcjkN744vXn+PG/4VVsUKz63jtigcNv3mvZdreJ2DE58TvyXFJANmiWTCaGuBDAkU1Xxt9cYCv3rl07fkpOl6XqZm6NVKpr0ZslBG2I0qfDSgCWSoXWGxmBjBO/QMWCiImpYdl42cCXuz6jA47OH8uEVLJ5eoICQGc66M5SxXA2bAxwQAI+mifz+W79L9XlPd+9zunWLi3A+Kzn//l2OfnAHE9d8+IvPePjkhJPFgrbtOT475eAo50lYku9WeO25WJ1DVDTDKhnoK8qpxSvDpdOoMOCWS7KspMxrlJav3hMJ3rHuOjye2d4eSkXOL9cycnMO50UanucV/+bnv+T67UNuvfY6ykhe0pC6oIjwgwbvcF5MScUsUSwGXsZlrSgz+94znUwx+jHD0DO4npIC5zpUlYFje0C5riGGiYR/W4tK7+1FdHlLON++kpRDZsuZEng7JoTKGiOqz5h8W9JoLcaYHNTD9gEKyMhRxDPPeTgbgubzyuXvyYMRl3i9hYnVdozRNGsWizlNP3D9+i3efOd7THb2edFyQsVAs15x8uwx7foKkvNx8J6vv/qK9957m52dHf7VH/0Js9ke+3tTyqJI6lPpFTfK1U0HKYVkfC7OfAnX4DwhDmLCmL7vYehlJB1iyihjWyzLGEJtY0yMzZkvlti8wGQZoR+oyxod5yxXDccnp7C7GUkVZFlGOww8Oznmi3uCek+nY27fuElZj1islpycHHPv/teCjPU9/5/LE4rxiN+a7fMvz54QXaTre4pMGjuTGW7fusEPvv89rDK0bSvoVa6J6/h3N+tUyBr9HMl8UXCxERtszoiz8zNu747oQ2A83UOtAnumQy16bGa5decW84Wsd7Nek1UFfVaSo5iOpxzuzri4vKQfJJD67PyCuihYtmuyrGQ6nWFtwbAaAx//xtfXFDNMNsEYS1FmZHkkrp/hgvCXTs8v0AR2JmPqnRHL+RU3ppqr1uKlbcdaS24NhQ1c39vnjVdvc7AzQaMoMktdlxADO9MdlJGsyHo85ZUb1/jiwSmr5Yq2bVmtV4x3D5lfPCH6ga7rGJJAoMgLbBolD11P30sB0w99AjE2e4PGWEWlFbktyIsi2eVYxpMZ09kuTbPi4vKCyWTG3t4uy8UCYwxVXbNqB9bLhl988gU/++gBn99/itGRN165xu997y3euH3E4b54ffng0HlGnhV0bqAsSpqmIcsyonN4J2hMngvxf7VuUYA1mqoUtWSWCQLW2ZdTaGk5GZ4XKSqitci+ZR8VvzFBaxJypV8ckaX/iaCjkfFjMvP8O35XQNqR0qVe3MB5/of/YQL8tpmOpGJqMyJ2ohQn5ZBukbCNInLTdG8ESH//Nf8+neKF7mnL9ZX9fCOAkclLshiKck+JNUSin/y9yYHwuSKg0cbiQkCbDKMycp0EBvlL4mRdv/MddHQMfYdGvK7yLPmXYLaHoays2X6IzVhCazCmkmpTW8p6BFaiKmJIbtzKoqLfoiEhBqzJUlettrNVnRZdIaqRa9MZu6ua5RdP0b2nbxsGFOG0of0C/H6BjSt++fEXjA/2MbMJtiiZTCcc7h+kzCJxEBdTRPk8G7WRyazEhJAOyO3SJhJtutmUKrgwlug8yvcyQhsGvPNJJi+FGFoWeXBDMjyU3+gGxzCI+WeIMf3Z45zH9wO+7/H9y4GiN/E4/eAY1RVFYemHXiJzYiQE98LMPFVNyieIN5Jn5rniMj0Q24Nt898JSWB7yAkKuLG+UBFym21OelHRbB9G+TshBkF/Njw2UsexvdKJqV7kum0w6I13ClsjWrGEkN/S9R2X8wXYmu9973vcufMqRmdsVC8RCK7n/PiYs9NjvJfMP7knAkVZ8s777xB15Pj4nPliTp5HYljT92KHkVmbEDop8GKUcWhEimhrX56Fw+BkvVxyvlcxeeakbyaEIKO1tIHHAB6HMRm9Dzw9P6N8cJ/T8zPqoubhowcEInlZEpZrLi8uee3uXW4dHjKuK56cPOPs9IRHjx/hnGNaj3n97iu898bbqCzj+PSEMAzoKPSDyXRK1/T86fkpWnvqsmKxagTmTxYwk8mY733nO0xHFf3gGWdjiiJnCIH5uqVr2mQdoyXHcLtZb+6h9Kf4vNuVw0hyK68uzyjqKbuTMet+RZ7nKD3w7OSUe1/fY7lacXFxQZe4X8cXZ+zO9qlyGcEarVmvlrRtL+hKDDjnybOIdwGtA7EoX8r6mmyEtgU7s5pXbx7y7OQZi+4CHYVXabQ8lW3bc3EpeZJv3NrjYpjz7LJjUhlm4xFts+DW4R7/4Eff52BvF6uE2rClMG4bmECWWzJteOXWEV8+PGXZtCzXLU27ppjMsPkY115hFJgik1Gx93RuQHklqKrz6PTeiqKkrCoUYkpqrE0NlyKoSKkriW3xAe8cezt7TMYTnj49pswMo1GNyXLO52t+8tE9fvqrL3nw+CmjUcHvfvAKv/9b73Pz2h5D3zMajWjaToxMU61tlEbnKULJ6ESWj2RWFKV5bskzy7iWNIyQCooQIm3T0vUDCvX/f5H+p1zBsFG/BS3FijFW1mLjEbWJxlEi8JFxmezHWqnkMZjGa9utOjWJqTtWSrZgRWQD3G8alM0lhZR+3lFviqp0e2y/A7VpTuXFZGqhEm8tvjB2fF7hbTiXL17PR5LPEbANUhWTeSwqJNpIsnzYngWJMKzA++cNeEyei6SqYvs5EIWm0haFFYf9qGmiZCovXxYny/Qr8AY3yAMx9JEhyzEmBUGbkOA6S4z9NklbKTH1kggeGTEanVHWE/K8pshz+r6nLGvGu1MJ3rUZxhqC0uRlxdC3DG1L8IIGxRgZj0YsLy9xQ8ve/gG/+OyYL8tAVQaMGThNbvQfjDx0c/Yz2B2P8NFQ1mNu3Z0StYa8IC9LsiyjKItEfAZrJQhaGUU9nuC2c3YthPUUDH327JiiktGicwPeK/K8FKQmSVmDGwg9lGVJ3/UvdA9IFqSOxKCYX80Z+j7JlTV97xIM7nCux3lP1/z6Rmjf5jo+PqYoc7quYjqZUY9KLi7blF2YbzkVcilUlC5usbhAa0c+mySUNr5Q1AjMvOFLybWFuARO1obg5UGJBLI8Sz8rruQKzcaEP7VGkmGpNvtD2D5HScgrRWrKNWPbxG0ednnIjN50OwGRPGsGB6++8R6vv/0eeVlL8bX5KERW8yuePLpPs54Ton8+gtxC8IHB9Vhj+OqrL9nd22GxXLJeK6yxFEVBlgmJ11qDMZmoHK3GGOl+XxppNr2/EMSskyidblSkIlcLmhxlc/L+OaIVY2DddMznS84vFyyuFti84OT0hNPzM+bLhjwz/ON/8Lt87713ubg8469/8jN++fmn7O7sUo9qZuMRk+mU8XTGzz76JW+88QZVWXH92nX29g84v7yiLnJc4SnLgi+v5uRZhrU9Vit6Iz5K169fo66qdG/I/81GE7Ib4qf3cBhYxRUojwoRHcTlXgpptb0nM71Ry6ZxcxqbnC873r6xw5PHj1lcXvDa3WuQOS4urvjy3tc061ayFTtBP6LP6YeB42ePGDc7KVILdqZTbLsiMzl9s6bxnvVqTdM1W2uU3/SltWU2KXnvjdvs74yp64JHfsXF8YO0N3mapmN+dQVR3N5zE3nr5oxo1rz1yg1uXt9HAbO6RIWBy/MziiKnyAWByvJMFNvOUZQFxlhslvH9D97lL/72c7pu4OnTx7z26h2IivFsl6tuTtQxIVWyCiFGyqKgqmqMNWRWfs+mKI5Bzg/fDxS5pfdeii8lVkDOORrnaNqOsswYz6ZkecaX94/51VeP+eTL+5xfrtib1vzH//T3ePvVW1zf30UZCYkmBDJraQeHzQuIkcwa+l7WZnCS1dp2onKs6ppxltE0jTjojwuhG/kBm1lMmeEHR24t55cXL2V9o45bUGLTvBqpnLeFB5v9EGSyFLeSIPkdqenUSUq4aZiD3/D2EmK0+fn4HJ16kZgu9Y2c7zH9w22gMxtuaaq6YmQTQRT85v2azZ3wfGy4/f83r719IRkrqxeU6CmWTF7uuQFp3EwuUn2FUoRkPbRNiGHztjYvFl/45wGfxrFGCcn9408+4t5Xn7Nul2gNzXr9a6/ZtyqyqixysTij7TXTgz3KekxRVawuLsQiwaUMP+VQ5oUvWYn3xEZdrxIacXF6AuqMqEmROxC/3nSWYhxnswxj7TY2IUvFl0fiN8qyZKeqmRUjxlcd19qO2lict5huoNSG8aBh0bLCo9ce4xXle3fpYkj8MM0QIn0fuFytCN5hbEYMSyFnBiekQR+2yGJMXkpaSyb31fnZdoHWy7n8+1w2oBDnYpAXIw3Pb9pyVFNVJUL+kyiErh+Ep5AKPe9kjBZInr4hEuLLOYQvLk44fvqUf/RP/hGzWS2RGfOnaK2ZzSYpiDWhQ0HI+pk1/OzDXzCbTsjzN8mMSfwE//xh2Tytyf9q2wy9gGqJU7JsBnmRJUXj82zCGBOBPj7vXjZxU/IzCd9M6ERUoNQm83IzPkTQ1lQIPu9Y2G5Sk9k+P/jRbXGEj26bZ+f6jmdPHnJ6/EginjYsjESqJL23GAN90/PJl19zenbKD3/7e/RDR13W2EycryMRl5oF0duoZNQrqHDXvZwiGtJmqSOhD2ksKTdaiBFHSCPDhA0q8bpiExmloB8GVsslhkBZVDSrRpDM4Dna30UFx7/+i7/kFx99zKt3X6MfFM55bh/dYHADVltc77B5zv2Hjzk5PsV5h9ZwebXgtbt3GYJjrGveefsdmq7l0ePHTCcjHj19BlpxuL8nQcImww3r5HWUsbczw5hXcX7g8dOnNG2XMisTn0RJBG7cRD2htvdGpsV7KAJr78lHE8LVAm0zPmdCo65YLa84OzlltVrTrBqilnstDJ0YWpaFHGAhkhUF55dXtENLkRdE52jXLTs7u3gCQ/dyzCoPdkv+wW+9x92b1zHGMp0suTh7ysXJE4g9PkSavqcZBnb1HnWd03SOvbrmf/7736WuCqy1hODT2qfRj0bQp65DAVleUE6mqMymojKwNxtTFgWrdct6uWQxv8JmlrIuCCGm80EUvXVdY5Pdz6aB6fqOddPQth1VVYh1jlZ0bc9kVGGynN5o6rJK3l2aPBfU+9npFX/zyy94enbF5988JnrPB2/c5t/+g+/w7muvUJf51hA7xCiZmDZjsVxRZjk2/XMZRUpD1DuHyQxFDHTOsV6vqauS3Ejs2/npGdPpBKMkM3fRLTHWMBmN2JlOXsr6qkQu9whZPaBRJm6bpS3CkwoRYSLELRIIaW/EpCi4IHxq2TDTUqjUrAZenFz8He6TTrAVosTexK0972gT90tvCjqVLFQGfLBJsOB5UfH7Ij9rg3BtXk/p583RZhry3Friea0Ro2fr9J4GJs+Lxq02ffNNpNeQc2ZL4o9pwhICpJinbx7e45Of/5QPf/YLrNEMTftrr9m3c3w/mWNGYy4f3ePy6VPqyYzJtX1O7t9ncnCIzXOR11qDcumDKSGKeQVhQz7bjOa0EZNRnRQtQNBgNsZqNKlyjc+jRtTzL2qzODNb8Oo7P+JOk3OzrwhDIMQaFwODiqiFw55c8PDpI37x5acMWU548ikqwsHN6wwJ2bDGgpb0bllUtY1HiDFitUalQOyNK+zG+n+z0Shk5KStISsqfHIANlkORlzKnR+ICn7rd36btlkQI7i4kaIqbJ5htBgbauNxIWK0IRqD0k7Qhpdwvfved6krGWO03cDBwQE3rt3m9p3XmEwrmnbF0yenCa4GpTVlpsgyixs8jx4+5rXXbqVlesFYLm7WTbFVeqQ/S6Y8uOileAxKDiVimptLdpxK7rzyvLw4/tuU7bJOflOAbv3EBGmKyQBUDOvSA5j+ziZ3MviBth3IlcVasMZiC4MCvnrwFafHj55/pnQJMi0bEohy62/++udMJhN++MPvURY5ZZ6LV1QqyiVjbdM2Pb+/nPfE2LNufv0u6dteGwFBiOKGbdP7V0FI7hvDwRiliwtbzpqM6wfnmc8XWCMF5qpd47yogw+mM5rOMYSA1pbLywuM1WR5wePjp6ybhqIosVrz7jtvc356xpPjZ1xdzQHF/sEu164d0g0dbdtQW8mde/ONN5jP5/jOoZWmyITb1vYSSZWXNUTFullTVCW3jm7QO8/p2amM6MNGSWUwQHAhfQdSOGoU0Sp8jFit8INneTnHpozHZnBYW7JYrjk9u5AC2YkTurhWB1w/sBwGegdVkRM1ZHnOcr0ky3JUQhfaQYwwg3s5jdK/9cMPuHPrCDbKOzdw48Ytrk4ecXa8IPqB6AW1db5nGBTLRcvRNc2wusTZHbwfqIoioYhiMi1WLjKUd1FR5jmOAENPnmUYbSnygFIhxYsp4WqVFXmeS5OsK7QxWCPCi65tJRDeBZwbBM3Vhsl0TEi5gxshjM0tTbumLDLc0DGpasDw5PiCf/PTj/jw0695djlnf1Lzh7//Aa/eOOT1OzfJTIIzQiRqManu25aqLAnBU9tK1i84tBJLkOiDTFusEdVgnmHzHBC8YOh6rNX4oFmslnRtR57ljCcj1qsl82UQ65CXcEX9ApUgyqhL63yr1I5RgIDgNxQW/Ry9ETA3QTgbk7lUcqTqZWOBsFUKJjBhU+wALxQ2zycTW0FPel9bQlZ4znsNIRWy3uNCQslJzWk6J54fbZsibkNST/FoLxR3W+PTqFOAOGxGpSg5W0hTFJWSSDbA1+b9bc1YSWkgG95aFO6bTjEn9WTMwf4huIGuC1we//pI5bcqso7P5phFgzEZAU/brukfd2RZTtc2eOfRVroFVJpxa43ByMGmDVHLl2KQEEYVHW4zI1UiGPbqecq11KQbRZYiz4Us2fYD4tUEzXLF6VdfM7YVnoHoHF3f02Uywm6enLH4ZsHxsISDXfKyYH1xSbNeU62mqFy+hhAiymgZHXgtxozeC/KmxBhTR1BGEdVmjhsSGJB4Qx6apqNdrjg7O5NRGKCsTZyXKATKIAaVxlghACaYz2QFeVGJu3ry8MF7vB4wSsZmWqv/oeX5n3z1XZNGaJqhd+hxhVKeq8tnrNYGrSPeD2RZjlaBs+NHfPTxR7RDyRtvvMnR0aF4tmz4VvrF5HbYFCcKjSGCCviUaRmiJwYHWlMUhRRAqQt7kQS5KZA2fUl8schJD4jWz8OZtxys1NkRgoSnspHnkkaFMUXCpO4qdVqb3zH0Lv0aQdYkGlEl7kJM79UR44offL9gf/+G+ABlRVJdStTLxsNFzHvlnt58R2YrG355Fg6gZYSWlsNH8SSSzE5BYoOXOIpN8Rm9KIQ0MAw9q/WazIp0ve8drvdYYxiVJV99cx8XPPW4wgOH+ztobSjLmps3b/P06THD0PPJJ5/R9A22yKjqirzMOTq6zng8oo4jnj15ijaGvh+4ef2Ix48fs1gtUUrT9wOuG2Tx0mbZ9B3LxZLRuGJvb5eoFHVe8PT0mKZppBuOQvLtbco39SmAXEkgsBS/EeUci2bJuB6zaHvWiyvqcc26a2maFh8lRFhv0D3vsdGzbgeGENFmImilc2RWmqVBQVlXjMYjRuMJ4/H0pazunZtHrNaN7C1aUZUF775xF9dccHVxSkh7z/HZGaMy2exYaXiHZkF9dCTpGdEnJbQg/CFEqqqgLmtQCtf12CIT1Ms76tEYNThQBjc0xCB5gWVVoo2mrEf4oWPoe7rQ0vc9VZnLHkcQRD89o95L1Io1GUWZU1hL9JG6HGG0pek8X3xyjz/9mw/54t5jfN/x3bdv8x/+4W9z82CP3VnN4APGiACr78XyYWMUXNeChLnO4YdBLGNQCQSQkblRgPcJ1ZXD1w8DWZGRFTlKSSh19BFXVHRdS9f2VGWNtobmJVE6ok7s0xggeMnrtZUUU0p2VnEuDwSfeEVKLB6UUqggz3JM/IttnE5CZaUKkRjkGEkqQSWNNc8VgM9Vh0H2MiWN2N+1nxG0beOUKBuMJQRHCM+bbeHOPh/lb6w3hKQnfNetaWiaWmwADnkVEmIGf9eDUaVpg0IrsVxKGBviJyZovnC5NJvw6hA0xsjr60wK88zkKAJu8DTL9d871/7Hr28Xq9O1QMRkOVlhBPXRCmWMJAYrIZpq9BZ61DyPuIkbZ80g8TgBtZVpuigOsDEZIspY4wXH71Rf930vX0qKTQnB0fUD98++5p1X3iSagOvWdMHTWpifXrJcXrEyA88qx2LRodaa0weP8N2ArSryyTjJQUkHoMDYamMRocVZVxuFUUaq5s2NAMLpUWDSDduuV/L7jKGsaxaLNYQgXUgIOC9KH7VxFw9BDC0R/6zBhXRTCMLjw8brJuJD5CU1wenGF1O94MWA02tYreb4K8diseDe/fvMJhO++uJTiqzg7Xe/w53X3gGVsREObKjoz1VcL3QIpM5BbRAllXyyEiQN5EWxfUA2Xc5GCbcJMzU2k0LqhWDPDZqkNnwtlR6gKK/pw2aEuZEvbF43PF/HDcQe4gvweyq4NnC2kv+IYWzqCKOMobSqWa0rJtNTDiZXtP4ag9+lMBslW9rY4oud4Ab5A2JKN3hJVwiOsPETC2w3HadTkxF47paeituIcGCs0ZisIDMZkUBd1pxeXBJDYHc6pRxV5GXJ+bNj8twwnU5YtWsWVwsuL8842NthOh3z8Ref4YeAjpGiLPjgO+8zHk8YFSWXV3NG9Yh+6ChCzny54MOPP+KbBw8JMZAZyYjrvaPICowSlagfHKtmTduuacdTdnZ2t8X75fwKFwKu64g+gusZXDooYkIjNyMVrciyjD44qrpGn5/TNyu6Zs3eWA7TEAOZEpWjtYZJVdJ7R1nJ5y/LCmKk8S3BShHbNz1VNcJmhr5vt1Evv/n1DRSZpcikWTFG0w8d777zDl99/inHfbtFHAYfyHNNllmWyxVV6VHRkWU1CiveVkoEInlesFwtaYeBIsuoRyMCAe+9fF4FF5cr1ssWFTxHR9dZr9YsF0t2pmPxMZufUxYlWie39ygh84Jsict2Zi3D0NO1HWZkCNGTpWLs4ZNTvnh4ys8+/prTyzX704J/+MM3ePXWAa/fuYGKSnIMXc+orOX5JJKXuWDdSpo7rTX9MJDZHIUUYE3XYbVlGBzLxYLpZEwMXn6ukLzNgYjVhrbvsDajbYU7a4ymrqvkb6jpmvZ5CPxv+JLmbqNAlma2yHOm+/vo2MoeRIaEPD9HiDbjvRhTlFgSl2385jaTBYUBLcIiTYqySUbTKmWqmhf/jgadUlgkwkxoPlpZNpE/1sj3cu36TaLRbCwUPvju97l959XU0D5vcv0Qn/NdY8QHpPjBs+HORnzKrdXC4VOIUMcbJLNQbRt0v0HuEqIVkJ9NnXF69KXoi2ya6UDAMJvNyDI5Z3zXbucmfz/M+n/s+lZFFjYXB1St8GoDuyV/opgqy+1h+VxxkY6wdPilalchRPgEQ8oZmqJQTC4/750sgPcJ4Yxbs8bnkk+FI/JgGBh98SWzesJ6WHHZN8znQjJtTORKOS6Ghv4qGadqjZ3UdKs1LnWmJATEJNI5WjhH2mi0MZigiS+kwYcQZfyw4bRs4FSt2dndw3UDF+tTumaN9w6jNaPZhP2DQ/FW2SImYTsTHpwT+Fx7ohYlhA/ijhtcwPsoGW0v40pFhXOO46fHrBeWLAs8fvSA9WrNnduv8MPvfY/j06e8+/4PePe99/HeM59fEoJlNNklbMfhm/Hui+O1dLgr6Rq3JqXpHhBTVp26TmR8mPxMQlLDCXVAiQhBeZQV5NHoF2b3G3sR4nazkQ0FIhs1jEodrKzBhqwfNo3A5n82nWzK2kruEakgeu7tJc+qfE7nC46PSyKWGwdPcH7Aq5vSbMgrJhBmI3VO/zwidiAv04w0FZHb8TvyfVmlGLwnhoCOOrm/b3oi+dDGWKoyoy4L+hDovacfeoYY2J3OKGzGjWvXWKxbzk6eMQyBclRzPr+iaRoePHzIsmlp5kt8lAStqix47dZtbJ7z5MlTVqsll8WC+WqJJ7JcrQg+sl43yV4i0ruBpmsZj8YYLcKRtu9YtmuGpiOg2Z1OqEcj9vYO6H3Ae0fIC8ldbQJDCozeRO3oqBKfT6gC3bpHRSVE7K5l3bZ0vQQo4yJdHMjIIAjZPDcSWBtC4Orqkr3ZLmVmGDrPYrmiGxzjWUmR5yxXS5ZXi5eyvi50jEYjRrUgQzbF4eiq4OjoOhcXp6mQ9jw7OWM2HpHnNWWVE/zAva++5K33v4s2Ikaq6xqQe3Y2nYFStF1H03dUVYlN8WKr1vGv/uznLJuG2SijaTvuf3Ofw/19VgpyW6LHU1Ci4HR9T13VEGFUVjRtSzTim1gUpUTm+MD51YpHz674/Jsn/Pyzexijef32EX/4B9/l9Zv7ED2jsia3Od3Qg0bUiCmFwpDiY6RjI8RA20nUkHc93idfP6Vl/1EwnozJ8oy2C2RFSdusaRrI8xKbGQkudw43dOiErFhrxWB6c2a9pCKLaLaCMp+ax1devcX/7n//f0AsCixGKaJ6zhOVnSkklbZJaM1zgECz2dsMfnAs1yuyzDC0jSB/4ylGRWI0QI8OKn2XGSp6tPJslXkoiHKuK70hsSe/KyU+ipsg5h/+zu+m70ql4vGFcyPZS4QYCZtxX4ypONoANyGZM0TOLy4IyhCDYjwuyfPEwVOaoE0qEA0Yl96rBuXlrHpea0mhpja1jIJMp8kL9C5sC6xvs7rfrsjaHDrCQAaVEAYtBHIVI8YoqrJCqUjXDXKgJFKpShJsCahUW+OwwGZmaoXTZWS8qNJBFpLKhDSiEfKqxyBSeBcDp1Xg07NjRk8fsu4HVsrhtcJnhrZQLDIIOpfOVxvGpcQvmCzHFrkgJFoqb2Pk92otP6sTmqUTV2yLdimkYzEvVMUhcHDjOuv1kvn5WRobDOzs7vLd3/09rt+8hdGW+dVCKnefUtyVPJhD1wkpNhWifvDi9j6IT4t3Hv+SoCxlSBQh4aecnZ/TNVe89c47vPnWu2gFy9Wc/YNbRFVwdjEnzwuKcsLgAm3bUmBfgHY3UtvNC8RtMbMpttgOgyUBAK2xVmMzQ9t7UhhPgo15jiYh0RUyKJQgY5JaUAfh/4lVyAaENmm8JC7DCivJAy90JVJkbWwF5R6L22VNr6+SIofnhZUgbVKsaW3ZmR4yDB2wx3y5z2zyFYoKT0EMGVG/QODcqBvRWwO/lzMMTlfq7jdo3xADxst3r9KHDUmgEFGE1J1aZSTaKeWC1okv0/cDIXp2JmOszTAM3Lh2yJMnD2nOTnhl9CpEx53bNzm8dp1Hv/iV+IT5QDSG3g18/tVXvPPWmzw7PaZpWnZ3d2nbXhzbY+Dq6mqrxlUB2uUShpZRVVJXY5EgKI13ntV6SYyRnemEsq6ZjsdE71g2a4a+p89ssl4I9Gkz3QSCKx3FlibPWa5WoBR5Jpl467ald57Feo1JHFKT7o2yrpiv1uRFRdusGbqWvukYj2t8DORFSV2PCW6gXbeE3pEX+UtZ3qrIKa3BKEmJkAgiT55lvPfu23z15ZesVytC9AyD5+HxGXlRUJaJttCuMSFQ1fnz4j89s0YreufZ3ZkxXy5om47dnRkhBD789D5ffPOQ2WzE+2/eBR9QuWGxuILgqGxI49OMsixQVCiE99d0LeNxTe89bhiYLxsePD3n559+xRffPKV3gVvX9/in/9Z3+c7br3L9YI/oxYG77TqqusK7gaIo0nO1QWvE+y2GQN/3QpKHrelknuegxK9rGMR2YbVe43xgtW7Ic+GkzXZmAHRtx3y5YFzX4gNXlFsgoe/FMDoaTT2ZENTLQaN9gOizhNbIuDDPa4q9StCamKZDqSGRnU0CtfEp8D6mcV1wEi8UAo7kBKAzMez0yYFSRQgDLmxSOQSBDiqKC3rQeIZ0n4COFpDCTZroRKuJwnmKYaAeFTTtQCCFtQeVfi5ClGnYttGFZCnDduKxQeEiSFGd3kuMKjWpQlUSoDpjYyUl0yULyZ5JJ5dRlZreoDd1yIaGIP6LMQa08vS+I0ED32qP/nbjQh9Ae1SQAy0iH5AEJRqtiT7QrJdpXJQUO0G4TASDT5wdSXc3KG0wm9RrrZ+P4lLxBfLFbObiJPWTVjaR4gN5jIQicHwQcWrN+vSCGMCYnHJSsMwygsmwWnyctMmev7Y12HzjYi4PqDVmewhpbdLYK27VKag06kTuH6XTDD9GgjJkVnP7+jXcbcfDe9/QNUu++zs/4sbNO2hjU1SOh+BlNOeczINd4Or4GN+tKSdTjLU4L3LwYRjwzjH0A8NLIkZ//c2S99+fQMpSvHHzLm+++QpFlXF5cYH3PY8ePqJr4O5r7zKeTjdwj4TzJrQtz62YH254VGoDVcPGw2Qz31cvZEr54LGqJMsKbt++yTffPMQ5L4U3KbB5+26Tl5MPovJSEZWchNFOVDepTdlG+mzGdTECYhYpb3+DJAmaxgadSvwDQXNicqJWL74DQlKGRuJWPRt94Pz8lKgC9uCQprvNdPKQ+XoXl+nNjA4QmD1ui800Un2JSJbfeMekMGXjN5wysV9xKYdxA9dpFDpGtIlEPM6LCjEMDhci66YhNxlVntG5gcF7xnXFa3df4xc//zlh6NFo3rh2wJ2b17k4veSLb76Sb89odnZ3ePXmTcowUFjL1bolTgMGWM7nrNaNxKgYMTnOyoJucPgYWTYtZS6+e2WeUdqMcxe4XCx4dnLKndu3sVnOZCoISixqFs2KthvkvjUDXeeI0RNUKt0j6KjI8pxAZFxVtK7DLhTD0OMTmhlCQJtA1/fMw5JuEApA13UoF+j1wOXVFVppylFF361RKB5dnLFcLpO30W/+yjWM6oLBDWgF1ii8E1f/w4MDXnv9NX754YcYYwgJlVo3LVZrZtMJxI6hb9gfHaG1xCOplMXnYyTPM9brNXs7uyyWS5qmIWjLX//0l9y8eY179+4xGpU8PX6MxvPG3dtYO0Vr4V0phGIy+CGNKzMshm7oObtc8/HXD/k3f/sJF1drytLwnXfu8u5rt/it998iyzOxX/CO3juc8xR5LtFkwZPpFEY+DAz9IOdTsmvIMrsFWoTQHvHB47yMBGOIWGMZjUbkxuKjp+1a+q4T5SmC/gp3LGIzS9/1ODeQFwV5WQgiml5vSyP4DV8qPZcBBV4zrDqGuE5NqJP9j5DssUQZF2mFohAC3sH88hkXZ2dcu/U6LnhOjp/y7OETro6fUdSGbr1mvWgTCOAIzrN7sMdrb7/NweE13njtdQYfWK9WDJ2nrmum0wmj0YQsrzDKSqyY1tskDmM0oet4du9XfPDuG1xcrSFa1u1KLIysSiavsh/5II2f9x4XPMv5il9+8hG9F5GCGyKX52d8/KuPCS6gdERbg7E511+5SVblhAjNfE2ISExSDNQ7E4yFsppwdHiTaCwaxcnxM3zsMCYjr0ZUxRiTGQk2N5Ap0JlhvLtL7xDU9Ne8vtWTHpOvQNQyutuoBkBCjcVUkMS5eT6jVZD8PTYO8VJQudTJa23QNo2IvBj3AUnhJ/CvSkVYlgojKYqeu4tHgCxD7e8SVMT5QKZAjUFRS8FkrIScWovJcpQWxCQzWTpE5bNs5KZa6xT2Kd27SkiXSl2KdPnqOf8Htc1e6lrHrbu30VFx9uwJu3uH+CAVuI8SGBx8z/z8kqIaURSa9dWcy6dP6S4yTFFIp2czIsimiabvOoJ7OWakX3x9ynvvvkpmZVSyXLV88/AR+3sj8PDJp5/y1Zdf8/ab32VwPSHUWwWH1grllIRnqufOu3+HILgdHSqe86bCdproBkdRKPK84D/5T/7XrNdLnj55yv1v7vPw0ROePj1jvV4l1EgUhTqhqdJfRHRMc3sdksVDIl++iKolro5PpqkbSDtGUTkFaePS+5RORviEAoULVyCRMsNzBCx4qbIuL654/OSEu6/eIcs0vcvxbs784hRb7DAeR8qyRqt0X6m/2xl9uz7pW14abPKNjj4SEoIalCAWQcmzzaYwhlSwWgJiSNn3HhUC0UDv5V5U1kguXJaR54bX7r5CXhRcXl4wnkw5ubpkf+eAa9d2uWhu0KwuyIqC149usDueMB7XhPgFpsyIKjIajzi7ciijKauSUMoBv7+3B8Dh4XVBM4xmsV6zXC5ZNmvhXg09p+enTKYjDncPCE4UYkPvsUZCq0NZob0l+jVrr9AbAl4uiOf1g+tkxqDKknbVoY0hBujWDZm1gs73Pf0wUE920V2Hc1JIdIkcj9ZUZUnbdagQWK9XZEVOVdfPY0t+w5cPjsF1xCi5opm1qEyjEXL722++wa9+9StBcVWQGKTFkiLL6PqeqtB8882XHFw/YnfvekJ1ljI2HZwUbtayWq/E82/oOb1Y8+TZOaNxyc5sSgSenZ4wyjSZ0dSjmtDO2fAyI5E8yyiKjLPLOc+OL/ibX37BZ/ce49zAjYMd/uE/+QHvvHabg70dcis+cloboveYGJPHlUmTErudsLthSPumpesFDTXa0LRNQg9FdWaMjJxym0mMWWrpr66uGNU1eZlT1SNpyLVmcDJW9M7ROymox3VNjDlFVaZxo4hmtNYU+ctBKp8uHXdHmugGjIXD3ZyoNIPzElujNvm4GnQOKhARjl1uAxbLveGM0ycXFJOa48fPOLm84t433/Dlj3/M/t6EpmlZLlai5kuo9x/+09/nO++9wy9++SHWakb1hJ3dPWa3dghuoFnPOTttONg75NW332Iy3ZXRiEp6xQjNcs6zBx9xdrHk8uQMjCXLCpS19G3P1cUVR9evc/fOHcq6oqpLofEouLy8wNPTecfgAm5w3Ps68Ef/zde06z6d7xqdZbzznXdo+yUXp2c8efiY6CJXpxeoGDh84zbjnRFFUfLanbuCvivDaYTFYsVoMqUwGq0i3dCwXKyYzPYwdc1r7/2Qm6+/T7dac/L0Cf/3/9N/+mut2bdrp5SMRTQqSYTFH0dtUAMtku/NDHZLMlbiHaNU2BYs0avtjW1MhgkbtZdOIcRKlH6JZDf0PTrP02b3XPm1Sc/WiYTpiWSjEYvjY/oYGFd7YGIi4WmUUezs76CVldm9hiIvUFFs/kP08lpaChxCEGJt4uooo8jyIpGT1Za3o20mKIkClIRxnj47FdM/a5nPFyh/xcXpKXlZ0PvI8mrOyaMHPHn0DJOXnD99RgyR5bolLBbJjI/nOWtRlEAva9Tw+7/3I/YPb3Bx9jWFFei9bx3BRdpmxTff3BeVhZbPNwyOPOV0bbh1ISFDMgR8sdD6O3PDLXy8/TMkWbyosrxz5FnFG6+/zdtvvYfSir5vmF/NefLkGfcfPOTJ02ecnZ6zWos5INs7D0mef4FY/nesFzaOx2ntNj5c8trS1Q5RXKirUsz8km9f+vtbAE9QriA8uRAjfuh5+OgxPghSdnWx4PHjx7z5RkfTnPPw6wuKPGM6HbO/t8d0OqasKrJMRqAkPuPLumJEBCUajHsuK5HnUsopk2XEKL5I2yI2puBbP7BeL8ltxtAPrJuGUVGgo4zxdYwEBzpGbh0dsbe3z/3793nwzVdMxzvYsuLW9T2W6woTEWl/kfM3v/wlz07PQBuaoWdnNOHo8AbePabcKbhz4xZPnj3h7OycssiZrZdU9QjQdG3HV/fu0Q+DcJCMoR16LhYLpqMpIQaa1UpUd3nBdGeGCpGL+ZymaQleZOVGQWEzbFny6q07EByX/ZxVK3Ew3g10fZ+Uq4JstcNAHDxVNWK5XEsYvOnxw8ConOKcEwXe4MjyksxYQug3zh2/8UsbnTibEWsSmTcEXPRkynD96Dr7+3scP31GllmUMqy7jqgCq9UKN2gqP/Dxh3/Lb//+P8bkJWWZMwxOVL8BlBVE2NqMwTvuPXjEeDTi6No+pyfH3L5+javLc3rn+OSTj5ns7FAatvvDYtnw7OyKLx4845ef3udiMWdvZ8TvffcNPnjnFY4OZlRFRWZN4scqlDIJcRJC9IZSMgxOMkjJpPE3RtBapSVf0Bi8cxR5QdO0VLW4xYsq0jP0g4Ria4PVlt3dvWSz48ENxNSMaaPp24GoFEVCrbIsI5L8v6KXHN4ECLjh5ZjNrtsgFhzBEpSj7TzPTk95enpCRHN06zZH12+yP9uhsDl/+eOf4kLD6+98h75fc7laY2avcOPdHZ4cH9OtLhhXBTdvHfH5jx2LpXjAgfCTSOaeT54+5d/8xZ9ycOM614/22D84wlrLdDbmYO+Isq7wg+fpoyf81V/+JaB48513uHb9BsF7vvz8K/76L/4141IxGY/43m+9z+7edZSSSVGIivv3HnA1X/Bnf/7nfPAd8Ww7unlDiuugiNowG08BRdOsGNUjNgKiTb2xseg5PT1hsnfI4c2bfPbhLzh51BOcY3FxQVnnuCFyfHbMpJ5RlBV3XnmDV+zrVGVFUZSM6hF/9Mf/gtVqxfdn+1ycHXPjxms07ZIzdcy1W0e/9pp9a04WqeELXtj6OinqFBC8eO9IllwqtFRkEwOQpjUIW/S5LUNUCAExzWaNMmRlhjFCWNSALksxxAtCgndpfBYBGwOvupaLaLAh8CBA6Bsh2nl5eaNEcq0UVGXF0PVbR3aR8Sd2TRSlksrsdmRUFzlFinrp3EDng7gBo/+O3L4ejVktl4AXbxyl2b1+Ex888/mSZrHg8ukDZtMR+f5t2m6gnuzQrpdU+wfsZznTwwP6tmN1dkI5nRKNJTiRNA9dm1C9l3MI//AH3yEr4OTZN5SZjEWHQfgMXd+iYpbc2JMVhfeotNFIAeIB9feg8s2oMBGu09f1onPwpgAahmE7YlwuF/T9gDGWvd09bDoQ9vb2ODy4xg9++AO0UvS9uJCfnZ/z5MlTjp+dcnp2zuXlFW2C82PicMk7ecFgT0nxIDSrkN6DI8RA1/Y06yX26CZJrL993/9D/wnpc7ih5/DahN39O/R95Ouvv6AoRpxfjZiW91DcZPCWZTPARUfba4xpMKl7EnXVyzMjDZ3HVlYQZ63wXhA6A7i4ieVQ4hskJAtBc40mBOiGAeciMQ9EFRl6x7iuWLYtShkGAjYI6XjoerxzlHlOPZny8y8+49U7t3nj7hvMV0uhCWh4dHLCZ199xXLdMp1MUAHKqiLGyDtvvcnl5SUGmE2n3L//gMxo1qsFR9evM7+64MnTx1xeXjGZTnBBZNgqeJrVksH19G5gsVwSI4yznMnODB0lsuosNQMbIvGq73jtxk2MUnRRcuqU80Sf+JMx4qOTv+9lnFFsnoHgWDYtGyWbqAg1NlbYOke3LaPJlKZtCS/J8d05L9zIvEDyJhUmz4TKEQLGWt5+6y0eP36E9jJOa5qWy6s5s8mYuppitWG9vGS1uGA026es0hgneKFcKCWoPIHeBf74T/8KTM5iMWc6qbhz8xqH+zO+vPcNf/rnf86zp0/59/69f5/j03N++tFXfP7NQxbrnluHM169ucd/8OYPefXWHtNRhTEZQ+JP5XkuojAtth1dL2PNvMjpB+EZGWNRiFWDsskyJgaKPGcIjr7vE/1DMRqNUErRDY7F1ZyqqqgSGpcXhSDRqfnSWuH6IWUAijCpLAR1IQbcMLBarSjrKgmydJpkyHRjw//6TV8BMLbEh4Ev7z/h3jf3GLqGos45PLrL4bWb7F67zR/9q/+OyrdU0ynrxTl/+9f/ihtHt/HptrMoDqY7zKqa1XKFdpLC0rXddi+UVDOhF+zMDvnB7/wDvr73Ob/46a/o2h/TrRpcGPjRb/+Q/+X/6n9DMJrDvR36Wzf42d/+Nf/5f/Z/4YN3fovrRzewZc7l4gn7k1fxXeSLz+/h/Nd4v6FJBJqmYbYzZW93yr/+8z/ig3e+y8mzY6azWbJFavFDYDqbcbBzwNXslO0cSz3/n8X8kn/8j/5nTKY7dC28fvtVjn/wBDf0nC9OeXp2hsks0Vj6ELAoskyaEogMg+Pre18w2dvhB9//AZ998hnzvqWe7OJWcw4Od/j5T778tdfsWxVZwQ1yM2WabQJ2TJwO5xJXTINN4wgiSpkt/2kzetnGW6SiKzpP1BLGGEMkmIhL7vHGWOHceM8mzy+ECMYIsTlETHCMlivmneODMvLIjLm+H2nDGGU2wbYWbTTWWqqqwnmXyHsyPx9cnzyo0igyRtwwiEFkgK4Q3lGIG1NVxcYZ14eA77rk4C2E62bdJHTHbR88ZSy3jw6ZDpc8aFuKomSdAqCbizn5eEJRQnN5STmdYusRru/RSeFoM1E9vjx1YSSQUY5mRL8mszkheNrOUZZC3oXEqPKSxViV+bbIEnGpYnBOHJRDeH4fbIZgm0Kd5wR4IAkl1ng/oDCMx+MtqVRGe8JVilGnwigpTbVlurfD7v4+7777XiriAn3vWK0aFvMrTs7OeHZyyrNnx1xdLlgt16zWjYgdgie84K3S9z0xRprlih//zV/wh//Bf0iZ1Ww/OAD67xRYm+c8hoixGdeuXacoCr7+6iHeR2yW8fTYc/1d2Jk1LLsRRsMwNFzNO/I8p8zFX8dHRd+/RE5W9BiE9NvRo4NniElhFcQ2ZPBODGKJaC9k8EzJyCkOAZVJk2UyDcEzqisxBc0seS7u2aCxxmHcwM50xtVyyfnlOcvFisworNZUyazz5OKCvu8Z1WPKssYNA59/+SXTesLNm9e5tr/H8fExX9//JokLFARoVmu++uYeF1dzuq6nCuJ55XwA5VjN15ydnnNt/5C9/WuoENiZTSnrCuc8u7t7PDk7YdWsUSk7sq5HHB0dEY0iU5ahaymKghBFXhG1FNSD26hCI3VVslg3GGtQXUM79ETn8VmOKwpUJuOxWS6NIllB/5JGwqIGjBR5lvYu4VTJJMEwqnK+//3v8uOf/oT1cil5pd6zXLdUZcF6vUKRoVXO00f3eGu2n4KcxTPLWIlCKTP5/eum59HTU6KCg/33OD05pusHwuCYTWcEFA+ePOE//+d/xIPHJ+S55f037/D+G7d4++4NyiJnvlrIGLUcQYwUmd1OClBRbDOCp8gFYZXt32xH2jqZVQ7DQJZn5DpL4z0xMgXk2QpRiPdWLCguLi7IjCHPC+GD2gw/9Kmok9xZYwxWi/LQGMvgRD1oNqMuIwHWTdfK33dOGoyXROnI8pw377zFn/30r/n008+YzXZ4/a03+cu/+HNm033++i/+iJ29Gxw/u0d7ccIf/tP/iOs3j/jFz39MUVSoTGgZi3XLanFFxFGUNbsHe9iypLlst5SPtKGD0nQuMNvZ5+PP/lvuffgxo1lNZg1VVeGHhtFoxsnZGcfHj2nWa6xVvPXWG8x2JqzWV1wbXWNU7/H4+JSI4s6tO1ibITZJGq0DtZ0weFj1nn5w/M1P/4rL+YJROWJ//5DDw30mkx0ZgfbQ9x6iRinDxnjV5BX//r/7z7h94xrrdi3CsXiX8O4PMHnkZz//Cc/+5F+RZSPG9T74gdVqQdsuKYuarKjIsoijp6j32Z3d4MbtgZPPfsbVakVlSu7eeYun35z92mv2rYosba04oCaJPEQWFxeMZ7voIk90GyHYEZNJmZbCSCWXZGuSIZhWW08snQlPSqWAS5GTivu3D/1W5bK9lMznySzKRYamZ1FFRqHhj/UBReVRocCoKbYoQUt0jtGGqh6L2efQE6NInG2eJ3ROHt7JNAUCa8XYSuFnraF3PhmoRlzyEYIoY8gYk/rPYbOcLC9YrlYk70xUFJXEXBUszTXJPtRQjmq0MSwuL5hfnhH6AZVrJrs3sMrQKUEGu/WaYejRyrw0s8quH6hswWzvkKvjr6mswnlF1wUm45LpbMxy2eF9wIfEX0rfQUyE1hCEE2CtIUrO9Xb9ElUPmSxv9CdxW3zNF1ecnF5wdHST2WyWNlIZS+PF+X3jbyIuvlLssyGe+5BGtvKdTSZTZtMZd+68gkrd7GYcuV6vGYaBqijph6QojAo39NIRRcfj+1+wXi4pZuW2S3rx2qJYIYobdhD+V1mWPPzmKRcXc45uXqNpepTRfPlgzNuvn/P1gwnESmTWwTN0juiHtK6KYXh52YU2t/iEVmljhDgcHTEojIpi3WDlgFP9sC0iJQTeicQ+04lfJ2uZZTJW14iHzqYw1kZhVUZRykEZvU/pDik+KES+un+f0/Nzuq7nlVde5/r161zNrzBNS7Ne8eFHH/H63VdZDQOt81TjMWSWxg2cXpxxsbjCA5OdGft7e3RNh8sdi/Ul7eKK9dCgrOHWzZvUZUmMkfVywWItXfNsMhZnem1BwY1r1ymS03xMdiLW5uQ2F8WcTFUJscfaDCKsmhVZXsrImTF66HFdKyasRUEIA6uVo85KSXvQhu4loZXWaGazKYXN6AYp5cKmgAiBYejZ3dnjlbuv8sWnn4nnkTY0bU/bOuochiEQSsujhw94/c0P0EzIbE5m41aob1J81oNHz1h1K1TQfPb5Z+gw8MuPP2Z+fsH1GzfJq4o3336HYfD86N/5bV65eZ39vQnj0YiubdBGMyqKlPUe0Cqm597IuREEcVRxwOZjAptM0oR8x0hIZrraWLyTPE4fpCnWKFbrhno8Ji8ycZmPouge1ZVwuqzBdQM+9NszqswlXzTGyODliTFaSWC1ER8/rQQ59N4JmhmF9xte0qQBoPUD54s5v/jlr1AmUM9qLuYd88tLZqMZT49PsMsV09GYh19+xtA6pqOKrlWs5iu6vmG5bJmMa/K65t69z1hcXTBfrFBWGmS9aajiRvkPjx8+5sOf/g1uuSaEjotnDcE7fIgcPzlh3Q1cO7rBqKp4//3vEqLl8uqSs4szjs8e8eEvf8xv/9Yf8Mob76CVYv/ggLLMk/GxwXvZI5wTXzKvapbrgbKc4iM8Ojnj8ekZMQaa1RXLdc/Dr+8JR5kgqkAdCcFxcfYEEzzlqKTIa3JrUFajMEzKKdENKBrmi0dkqqLMx7x6+w7r5oqLxZzl+pIYA+cnT3haVhw/vsfT+/d45fZdgmugH3D+JRHfhYMUUF64I0ev77E6OGZ12RGx4IXTZDaolBJmjvKe6D1xGAh5AZkoA5XRUlwZS4wBP3RIqnsuROKEKmgjCkCdSHBo8bSJAVEaOM+RXjOuA48w1MWS03aHfDQiBuGPoRTBaExR0PuA1hk2s/ihJ1Gm0ZkGkzwxukGIr0qjM+EPSZSCFIGl0XgniiyfSPJ+GDAmw7sB1mvyuqbvh5SFZVAhGatpcd0OwwBKRiMoRZjO0EZeo+t60AGb5bhBxmbjvTHNYoF7SZyd6AMxeA73r9PNn2KNSF37QR6m6WzEcjXggvBTvJWCIMs2BEkZ50oNuPE02XC0NofyRlq3IZWzLbKU0lycPWF+ecH+/gGz6Q6z3X3yopAHSAkvSGuJ+rAmRxuNMcngNLkWq/QLo0YUgSDaZza+VFIIlWUJKIxJ40/A9QMbyKrINEPXsfGyiug0bvSJw5W+t60KMWB0xtnpJQ8fPebO3VeTc7UguetlzsPHA6/evORqeJud2R5+cMwXV7StIJ+SV/lyIjkAfOeE8B7h/e9+j48+/hTtI8oYnAOFR0dxcJaCSxNsUhJr89wfTiNScSUCBKWkWckSYqB8stWIAe8H5leXVGXJaDShyCRqKKLpuoHlqiFGza2bNynLgiLLGC+XXGjNMAx8/PHH3Lp1k1fvvspkNOLZs2NAc351RV1U3Lh5m+lkTGYM3geOT88Yj0c8Oz5m6B1dJ7E/l4sLNIqLs0s6HyjyjLZp0FFhrSEvCq4dHoo9g7ZgIsEFIULnOVqLSEZ4PgGfEG/fDYyKEdFmjKqxoB3O0fSdGKt2Hd4NzNdLjM3JjPrvN46/oStGjybi/EBRCtE7eI/RikJn6LrC+cAH773Pva/u0bZr2bOMomlb5iqSFztC9u47Hj/4ivF0h74fKJNth1YaNwz0w8Df/O2vCB7qqmDd9ty+dsDB7h5lZum6lp3ZjB9+5x2u7U+piwyTzDv94MS0XMUU2Dykwl3jSU2r9wSX4nW8MDz94FKhLnuq82JbkOW5IOwhyJg0ATHNuiHLcpwPONeiEWRZ5XImtH1P3/UyBkWhMkVVFAwpNcQ5j8myhLrIVGToOnrnyPMsTXI8VmUMSXFms/ylqUe7dsXDZ09o2wGlSq6uenYObxNUxsnxYw72DtFZxmLVMZ1d55v79/n4008YjSYErblx6xbtcmB+9pTH977kww9/xvrqktCkJqnImO0dSHYfCqLMFxfrnv/mv/7vsFZTT2Zcns3RNmNvb8Z/+M/+F3z3Bx8wGY3ROifPLYrIctWyWs5Zz6+4OLtksjOjnowI3vHFF19T5JbpdIYiR1tptkOMrFZL/sW/+BfMz85pugbvN/6a6byIAazBWHARtMkSvqPAR/7sz/+K26/cIS9KxvWU2XTCeDZmMpqSFyUKgx8UDx48pqpqfviD3+fuq6+TG82yWXNyfsbZ2Sm+D3z85UfMJjv84Ae/i1YZwTX84le/5Hwx/7XX7NupCwFQeB2xOhLsPXZfW8DTwOUDgyFDowhaDmyi2NaHxEqT/D7zXN2HkiDgvie4AaMU2ko3snEENzYTpCtt8CqN6TwysgrekxmFGwxnfc90vGDpNTGbEkgKsBhQGIzJKOoRRVXiXJ+gygyFJssMJiuxRmIihr4XblEAa0Tya0xSFUZPCKJg8c7hQ5DRY/I8sibDFxt3cunEoonyz4OjddJZamtpW5Gol0XBMIjJojWGuqrpup6u7yReohaugjKWcV19m2X79S/vmY1q8tyys3fI6uoEo8WUsGs9k8kI1KkY8TlHHjLc0JPZajMSRxji5gWzu41Nw987WBLiJBujxCiVZUFRlty/9w2ffvIRWhnG411eefUur732Oju7e9iEsngfcK5Jo1i2YgSJE9Fbw9j4AurX9wN93zMej0i4Ghu+2Obd90n6Xe/s8x/9x/9bgpVx6PZKmYh/nxe3QbWWyzVfffEV164dyfuy0tnef/iQ9arh+CTj6NqCq7PPWcxfpSprqmrGweFdRnVB2zY8ffr4N7qsL17OanJEHh2zyPWjQx5+Ppd4HW1SFws+ed8ZrbFKk+U51lhyY3Fdjylzeif2I73zFNpIzNmGwaaRMG+ryMuKo+tHFEXGrWvXuVhcsVqtZPMbj6nn86T802TW0vUdH33+JQrHdLqLH3uenJ5RFwWr+SW9c6yaFW5w7M7GWAVt0+CtRLDcuHbIumsp8lJ4l0ZzuVjwyWefkZUlt65dZzwe8/DxY5p+QCfqwe3btyTEWxnh4iDIRVVWGCWUA2ut7EE6meSGwKpZsxw6tDLURSleXzu7VAbWqwVoTR8cJo2lbVQvDY3OzPMMNu+GNNayuL4XUYVV5Jnhex+8z5/8yZ9ysl5hbaQfBharJbNRRT84Vk1HGJY8fvA1RzduU80OiJDQIkFm2yby5YOHaDy7szHD0PPaq69IAsDuPl3b8Mort9nfm8ioL0SyDNq23QalS0iw346OUBJDFoaezZQABO+OzrEJ/23bjqLIqfOCrpeCKM/zRCHQDG2PMYayrFAp2izLrDTAyWtlGBx5nguBPYqflgqBbhDDzKKqKZAx5NAPGGu2ykQbk7WPFmVqBIqyIssyQggyrnwJ115oOTi8ziuvvMqzk0fE4Lg8+Yx/9KPfoesDTgUyC5PJDu9/f5/MZly/e5Oja0fcun6Noe351Ye/5IsvP+Ls4hk3r+9xZRwnD04Zup7f/sf/lKO7b+GSyMAo8b50g0frHFSPCY7eaRQOrOLh8SWXf/ITrJY0gxAGTo8fo0LifOqAd44QFWVh8a7DYMSHK4LCpEhCOZPb3tP2A8WsplQzDq7fAmPI84oweMKwwttIPZryw9/L8H7ABVisVngG5irw88++hAjXDg+wmSV6B26NtUaK7d6QW8v33v+A146OaFYrBiON/8HuPruTiuv7O5xd3+fyai2RUGHAFhVKV7z5Wv1rr9m3tHAQOVV0AYdnPW9pO4V3S6zdAydFje4dUQuFFiUGghiLynN0LtYJ3kei61B+SIeYOLfrECRgOpl/bjyDQlDJywZc11KMailrjaWuxpw/eEDpI+MKjrs9yaZyAyoElM7Y+CzkRUnb9zgnBqB932FtjrGWEAKda4RbpTSud8n5tyXPcpyXhG83eMRd15DlBUNydLfaiuXCuoX1isndV1HLFav1ksENwhnIMpQPNOsV1uaUKfdquVphjEi+u6alDx1ZUTIb7dCuVvS9zPzzVGS8jKvteorcotBMZ9e4PHtGkUm33rae8bjGZkZUZr0jlIGu76iqim2ZomRO7r1wQGL874++IgjHJUQhJg8CGWe2YLazSz0+5uz8lKurJd88eMCTZ19z7+uPKYsR145ucvv2q+wfXKeqS6xVogRSQjrtWvF30Vr4d1meJcdnKYLLqkjE/KRgTejWxmiv63tRH2U5oRzhQxqZvWBLAamj2sw+06WUpus7JtMpRVkyDANGa37yk79lsWzYPzigHyZ8/XBgb/yAz+8HXFB0XYMbPONqzMHhIQcH117K+gJUkwO61RnGRx5/+TV333yHe59/JpyyxL9AKYLTFEXFwcF1br/yOu1qjnFrtDFiwxMkiLZ3nsF7ciOqKo98L1mW0Oio0YNjMpkyKgu6tpEYLptxeTXn8PAaR9eu8fDJU8qyILMZs9GE3/7t3+L+N99QFoa8zLBKM5qM0UqRFwVt27Ju1+xMJlzNl2hjyXXPufNicujFxNYrzeF0n9xkvPXW2xLb0XUsr67oh4E8y+nygelozLWDaxRZgRzuokozxlIUFVU9Zj00ECO9c2grRZaPHpuJR5hzPa4byMuCVbOm9448WQhkmZg/Llcrgunw4eWMC/OskFigFP2iERPNzFqsEVGKd4HZdMz1o2ucHj/bxqe0XU/X96i1NET70zF91/PFZ7/i/R/+Plk1puk7np3O+ejLR/zso894enKKD5Hz83M+eOdNysJickueF+xOxxwdHVFmmfgNKUXnHF3XUY80mZG9RmuDyTIGn8KNnSezGZu4FRHTqIRqGRkfKp3GeXK/GWtw3qUxJpRVTUj8vYjCdQPN0GAUgmRpQ15anHN0XZP8ELUQov0WDk8RY571eiVK2GRWW2Ti3df3PXlZSoG2saiIGyHQb/6qVz3T8Yh/59/5J/z8o19x8vSpFHvRs7s7pg2e1fyUdt0yGeWMi132ywl5DPz4r/6KP/mTf8nJyRnWJMFGEAdqYyz1ZEoxGfGrn/4lrmm4fus22hZ03ZKzp48obYELDuU9pqwY2pa8rulWK8aTCdV4h6vTY/q+h+i2hSm4bdOto6Ucj+n7Ft/3KJ0lNahPaWdC0/HeUdYlxijOT5+SZRl5VjD4gaoscL2jLsYU44oQCrAZ1WRC3zWsmpbV/BFoS7AjVC4B7c+OH7G+OmdoIlmhuHX9NiZYjp8+TXnEgopJPI+oRnvXotRAMyxYLlq0UVT19Fsh0d/SjNQR+5g4WRH8mna+ROuKGHpib4jJplNZmzINU8SJkrGgSlb3xkScE0M4MRmX8eHGEFKMuQUiFOTLUNUl9aSib1aEvpODvcyoq4I/PRsoY+SV6zUqKrRvyLRU4WhRhxhtsTnCh0okG2tztJFOxPc9RVkm/6SQDmsjkv5BMo3yLMdmOW2zxljwoaUsS7quwzuHC4rz81Pm5ye8vr+PySzj2ZSyKDl+8oTFfE5R5PJ32pZ2vcJklqooads1y9USm2fUdc3Q9sznC9AwGo3xvWO9XKQ59m/++tlPfsGbb7yKMhqbVyzXHYP1KC3F1MyMqauC1UpUO95LIeGDT54qEkvhYwAnZF/ZbJ5vWpuRXfDi1jx4Qzk9JMsqFIrd6w3Tg2vsHH7Jw/v3GVcVwbfML8+5PDvlq68+IwZNPRpz7fAmN2/f4catI/b3D6lHY4q8EB5XEN6Gd55o2BY8CiX8rBSjFKN4ooUo/mjD0IsKazMiNukzbJSxalNMwjYDUSuIguCUVYnSeyzXK6Z1xd/81U85v5gz29tltjNlNB5zMa/44O0Fx+eKtSswRtF3Hd3Q8ujBPb755quXsr4A+9dv0HQTzh7e4/xizvfzEmUyhuTlpIylqEZcu3GL22+9hQqaR0+eEds1+1UGMUhR0fdoq2R0/ILlihgFi0lsUFK55XnB3v4e3WrJ6cU5N46OsMDpfMXBzj7rtufWrZuisDQKqy17dsTOB++xahsu50sIMrJWSpFnGWWRsz+dUZQFB7M9hm5gSMrRSKTIc7rkLVdXJV3TgHM4N+AGMR81WYY1ht3dXe7cusV0Ok0qPDGpNFrQrCyzFEUusT3O0XmH9YJiuBCx3ifkVAQ8Pkbc0DEZjxmcxA9JPMkIYw1XixW2X76U9RUHC0Nd18Ix9I6qyOm9w2Yl+IhXMPQD3/vud/nVL3+J9w5txGuq9Z6xLQEjXLSy5PzsmKcPH3DcKP76w085n6+5tr8jI+FBDEFnk5rpuKbIc4IbKCcZNrfs7k6YjCvwgb7twShsXoii1diUGKJE6BRlBGuU2VIwIOCSonxwjsF7JuONACfZ96hATAWcNprcZLje4fEM7SCcQmXICgm+dt5tKYXGiphGKxlNd30vTWMIOCdIpYoiiNBGch4FnZdmZNOcb1inG5+sl2XDMgyeJ0+eYMuCW0fXOdzbIeoMHRW+7Xjw7BkLHanGJVFZiYN68hD3yPOrzz7hbL7CEwldRoiRyWTMs6fn2LJiNJnxzZefo4HV/JLHrmHoI1mu6JqWNiwxRUGzuGA0m9EtW+xqTvCR5eUZZTmiWa4oRxP6ZonOcvquJzqHLUu69YqqnrCaX0mhnBn6xTlFXdE3IgTzMRBcBB25PLmAeEE1kVzIoWupRmOWyxWznQMeffU1EYUtLFlZsV4syawYYauowSo+f/oUlRVAYDqpiFphsoIYBZ3PygpbjckLKbBQFq0jGkNAMfO7uOjByPmgVY61mvXi14/F+pZFVo9SmYQsRs3pN2NcC3ioygZrFaEokj2DzFi1tkKk1eLY7IY+PZz9cyJ0aqNlvIZ4oaSk7NDKzd51A6ZtWa/a9OMygjLWMl9c0TmFygouh4nkkhkFwWCVAm+xOscNirwY07p18jVS6K0lQQpiJpLZHI0YL67WjWxYBIEyu5Ysy0RxFCJD3zMMA2VZ4RJJcjSbiTdMWeIGh04Ow3uHh8zPL1jNFzSrhrzMKcqcrm25Wq2w1jKezujWay5PngGKejIlywsW5+cMfYsuSyajnW+zbL/29ZNf/Ix33v+A73z3LR4+vcfPf/ZT3n3rXUaTkl4HBhcYj8fM52f0Q4tzKc3eS9gqUfyX4pDc+lXYjtW2SjwlXUrXDwRVoIucphvQJlCUFTZGbt58jevX7xL+QJCp5fyS46ffcO/rz3n86Bvadc9qPeerr8756suP5OAtayaTXQ4Pr7F/eI39/T12ZjPq0YS8LGRsF5NVSF7IXB8pjmKUtHoSEuYGz2gk4wBrZZwcN9lZf4cBbxIglhRviZ+0Wq2ZTaZ8+tEnnJ5fSLZdVhBCwPUDy2XO2Znl6LDh0dmUzAiBunULiZR4SaMkAKMMN4/u0l9e0c7P+cu/+nNc32GUYry7x9HNu9y68wo7e/tcLdYs1nN2d3aYry6RXB0JFjbGYAsxKB3ZHGONFLiiGhClbhTqgAbGZS12DvWYn/ziFxzs7nLn9h2CjxR1xf7+oayJErsVH2TMfziZsjse4WPAeTHljSGwXK5wQDuIMCZPJPQYA8oYDIrSyEHinaMfBlwMZEXBuB4TQ6Qfeqp6xHQyZVzVkucYgaiwWoHyRB/Jc8vezg5nlxcs20bG3Fphg4RTRyKFLfCDZzKdEIKj73q65Yp6OmU82uXx00c0qwarNXWVs/eSODubcaaM8XNyK2Tv0XiED17UdgkxevP1Vzk8POL89DGZFluGfnCs245RXdIHML3DhIEP//aveDyMee/Nt3n39dtYU/B//D//p2jtOTrY55Wbh0zHJcaIEWfTLpnNrqFjoGs6jNV4AzEEiqLYpme4fiAMstbGGmmMojRoIZk3W2Nx0VMVEv0zhIhRssYBiWeKMVJVFevVRiAkzX2WZWRZxjAIYhVjJCsK7MZQNopbozYG7T2FMTIqi15MTpXC5haTvlvvPVkmhZU4yWdYK2s5DGKU6f3w0hzfdWVYXZ7hAJQlL0rKUUmeGfLJiL2j67T92/gohZ9O+5tzPbPDO/y///mS1fJrcGuGPhA6Qe2zuiY0HjOq6BdXWG3wDok3WzdUoyn9ag0hUhQThq4nKwtcLyHZoBiCFFOD82TVGILH6Axv5Fwox2JUqwwYLWKicrwD0ZHnFWgt1kfa4lyL9wGrsyQkM7h+IK8q1GpFUWR0BrrlGhdaqnrM0HYUkxylnNzz9S7z42Pq3Qn4yPIqghEa0LVrbzKa7lNWJfVohM2E20vi3aqoidpALGRL0IKe6iguCT7/9dWj33Jc6AheXLbFhDRDM8FkmpiV+KIgJAk+WgIpo3fboF8FCTUIBLd5EIyMyHXyqTJaLAu0AbxsnATi0BKGFqInRiMqP2uoJmOWqyVFbiXUNCS+zDaDSCdkRTgf1hT4sMSFIAoEW4glAKKKa5uGvCjRmcWEjG65Zr1ayUJYi4qR9XJFURSgNaPphOViwfn5KWVZkeWWLBuzni84fvQYm9lEIh1o1w0+evL0c816JSMJm1HXFcF55qfHuKHHFAVlXROjZzQdsX9wyOLyitXVBZfHT7/Nsv3aVz1R/PP/5l/w9b3X+PLzHzMpoW3WFKVBK0vTDIxGI+CEvheDRmNjEgnkaWMJUpAkkcTG2iEk3pP3gbYfQBfk1UR8hvICrTRXl3Ni4sAVVU7wkNua0STnnf0bvPOd32GxuODk2RMWV3OuLp+yvLpkvVzRNgPr1TlfXR3z2ScSl4PWZHlJUVSMRmOmkynT6ZTpbMpoNJLN1mREBWdnF3zx6aecnJ3xvd/63QS+SREfpRUmKp3Aq80GmoJXETLwarXk+OSE6XTEkydPefz4mVgdmEjTruHK07Uygv7JLzz/8PefsvpKMVDhu5auGfAImvOyrqrM2N/bx7z/HT792d/SRs/R7depqxH1aMR0Z4/xdMZsd4/5upPom8mMq2f3RUigIyhHrnOiUtR5ibUbn6ggBxYyOlVaoo5UDJjMYmY7FEWFLerk31RijWFnMkURRZnK8/gqNwySW4ahMAYVxD9JG8t0PGIYZDTonWdIPMEYo6gzfcBmlnXTQAhURU6eVWRVhQ7Q9x15PmJmDVkmmaYKsYzpXU9QGh1FEkOI1FVNXSYCvFHk2tD3HYpI27WCqsRI8InnozLc0InKTWmm4xl5nnNxeYE2lrvjl1NImxRgnxcFJJPVjbcdIaIMZEbTO8/N64e89+47/MWfnzI4QX7brsePBVEK3hHJKOopB3XGj+68ys3Xv4tShv/yv/5jHjx6BtFTlSVZlpPlOePxiMJmNM0auxmTKgkcH3pHkZcobXAh0A0dCimcy7JMghaTfOdE/JPl4htXFDXBB3KdTJ/RNE2bJh1JOdk3Sf2nKfKMkMbaXSe81rqshde7UbgHMbA2aTSsFTjvxLG9qOV+glToSdNljMTp5EWOMToh+Wl07KWIDUGxXK5eyvqqUgy/Ywx419IPHavVOVrlZFWB0hm2KMnyEhM1/eDoXcvQr8is5/vffZcvcs3p06cszs9YX5wQo0VlB4TQomjlTDYKk1D/GCSGajOxMIWlWzfk5YhuvSbLLUZl+KEjH01ZLy6x+RTvHMSBohqxWl4xmu7SrBbkSmNsTrtaMt7dYXnZk2diw9B3LeOdHTJbMzQD1hq6vsNoWaO+H8QiqV3KKFJ5ghvohg6dZTTNCltlDH1LZiPlqKBvBsa7u/ihZWf3Om++8y637r7OdDJDYbb7iBpCKroRfqAWk/MiH6GNCCu09hCzb9UIf3sz0ijxMzEqGQcok0QIkkjuI+KjRfJJ8l5u6JSKniRoLM/Oic4x3t1FlZuwUHkZn1AmktFpVZdkJlBkadPTUawd0KzPnmKiPBhZYahMj1bSqYk8WRG03CwmT6TQKOM3A6yXC/quYzydUtVj3DBwdXmJ847RZExZ5AQfmF9dQghMpjPq8Uik2+s1y+Wc0WjEzmSG9452uaIPgbqsxIuo61iv1wTnMVaB17i+xw0SfVEk08V2uWRoW9Ca8c6uRFO6FX4YOHu8ZjzbY3l6xmKxfGnqs++9c5MPP3vKH//Zn7I3MRzsTHC+ww0VSkHX9symOdYahmGQg6rIaLuOuq7SDRKSSqRg8KJYCYnL50Og6x06G2HzEYv5YiuTFrJ/Qd9LcO2wXGGtFtf1qkqwvmJ39xq7u9fkYfBOeDCuo2s71osrrs5OuDg74eLykuVyQdM0tM2c+eUx3zgJETU6oyhKqnrEZDxhZ2eX+fyKTz77kHo0pe8bBteJ4z/PeUZxy+OSjxqimFMSIk3b8PjJY8Zj4dSdHJ+kmCZB9NzQ0/cW6HAxsmimOLvDjYMzPrnn6DtH13aUo5qD69dfyvoCzCY7hLbjtVuv8Nrd11itGpaLJWcnp/Q+ZWN2AxenZ7Rtgx8Gvrn/NfPlnOnOZOvR1qmW0tZM64pRVYpZr45kyfdmSBEsaAlT98FjUczGI/amE0IUFZhOpNcYRCZvjZE9JoiTd4wbryOVLBMCWko6ciMjLW8DVkOXRjuChguqPB6N6Yce72S0q9P4Ms8zrBZVs6SHJGTTB2wyT3YhJqWhprCGm9cO8MioLVZiQSNu/562azBYlvM5Ns8oq0rMk11Pu15z4+gGi8Wc3Gj80HFYvZxnWDwBxRcrWrBYhr6ja1t51rzYceQmp8oz3nr7Df76b/6GrlmKwbKxOO/R2pDnJUVWEH1HYS1ueUJOz7N55L/9//4lwXdA4OLqktfu3qaqaiajMcF7jo5usr+/I/QB79AaRnVN3zsZ3RtDcJ6iLNKay5hYKYWP0iRt0Ka8KMRGJxO0ct00ogz3XqYkwWOtxZpCJiXi9cLQd8m+xxJiFGGV1jgvxXieSQh227aiFFTIqDCKP5ZJhZVzwvXaqAeLstj+O6JK9BJpDjaqx1E1finrm9djqrJCW0sfvDQ12gq/d1ShlEEZEbB0TSfoMwYVNbktePXuW9y4fpvl1RXetTRNx6eff8ODh/dReELrCa3DFgWxc8kFoBJri6IiepcygCVmyeQFPijyJCqIzqFtRvA9NtN0ncdFEZd4P1DkJV3fUpkAGrqmJStr2nbJZDJjWMzp1z1RufTdiorfe1Hut02DMpZuNRB1J1YaJqdvBrQ2rK8WjMwMowzz00tsUTAsV8SZR2lLUDlvvPEeu7s7ZFmBNZKzKBwrqU+0ivJdYInREqIn15K7iZIkEf0tkOhvVWSZKARJklGcPBA9rh/wrqONkWr3UPKGUmcrXhsSgyCcC4vXjrwqULGQriQEtMlwTpAQMe4EY7TId4ceT06L8Ghwz7/4qBSu78nGFTav6IIlz5NMOKkaY1RYnZHlpQRODgLnbnx9irzA9z2dc7gYqMoS5x1D20uyevTkeSHjpKZJB4SmLCu8sbTLFuc6UUNmBbWNtMsFbSNFk81zdKYYGkGyIkLA10rRrhuid2IAmWVUZUWzbihyS98NkrdoKxbnlwztGoVYXLyMqy41v/3BEX/7cSQOUYjG6aDzLtD3glNUVc5y2dN3A772DEO37eIEuRK/Etd7ssyI3UOI9C5giwkx5qzW6202pPee1boVI8ukhsrzUoKB81ziW1YNk/GEpu+oq4qIl24tL6lQTGYKdQTZuwpNxLuB1WrJ1cU5Z+cnnB4/4+TZEy4uzmnbnmbd8OzJBU+jmGrKaFATwkDXNXRdjzGiFIpKbYPCtZJ4Bx89GgtoQTIvz6jrAoPiwcPHOBdkg9IGrTKMzqirEePxiGo85d/9j/4Z777xCucH/0++evg169Zy7eYRt++8kjbtl3M55+S51Dv4tufi4pKyyOXgsDVFUeKInD55wrJpWS6uqPOSvvdcXJyT5cKr1NqSO89oPE4blRhIaqNlbGwsMfoUw4WITjK9jT8yStBovDROSumth57VAY8EGAcJEUjO20CWEZMthnBDlRRa3lOkzlt8ukTooLSiyJPqebO3RIXWkreqEMWY63sCMRXOgcxaqkLI+861GKsZj2ouri5xfkB1UVD6IPY0WhlcFPuPrmsIbiArCmh7/NAzHo0pbEZVFPSh4TB/OV5o2hjEUoMk4BEeqWSxCm/Oh0BdlKyahqPDQ7K8oG/WaCMcxr7r6LqBddtSWEU5sjImGu9hygn/2f/1v2C+uORgd496VFJmhqrMKQsZy+tcFMl1WQrZPiB7r5NR2+aqKom4CTGIoCb2ZErc6b1zWJO8FLWBZAgaFbjoiQMURUFWCILuvWdwwg/NjUk0DRljWSsEdxGFajItaFTbtpRVSWUl9LnIC7yHLDcps9ZvVeWbQmuTFtF1Xfq9HpsZImCM/H5jDEX5cnizt157k939XZQxDNGL35oSexFbZsI5jaLa10bjq5IqRoa+InQ9XdfSrVdcOzyCAMfHx/z0Zz+nb66I3cDy/IpRXaFNzqq5xGSiuBv6nnI8ltFvZiko6FtHPhrTLufkRUY5Klmv1lTjEd2qwWQl5TinXS6opxOa5QqbFZSjMfPzMya7+/RtS4wrqrpmGNYUeUGITtbdSg2hlQKbEaM0EDazdG0HUSeKBnRNgy0T9ccPmNzSrhsmVY7JBEypdnaZz+d8du9L/sHu7yLJDJscWoVWlpQQL38mw+hIlhcSeA2yCamN6OnXu74dJysGlB8AkbgSwXUNvutE+pxnxOCTa+4m+NmisxxjRC0iQc+WcjKRYizGJOGXnDRBmgI6oVl98FTjCVlRbqFbUqGngmweRMVk7wCbl1KJpofr+Y/Lz8egWF9dUuY53knWVJZn5EWG95q26XCrS1E2VKUoVvrA/PKCMAzkRS5yUG1oVisW80tRsFUFWSxoVkuWFxdCiMwM1aRGK81ysdrC0WVVEYOiWa8IvhdDyFHNyMqDH2Nkur8vn9kYBu9oFksoKlw1phx6+vmvT7r7VpfSjEYl33nnDl9+8ZjMlsm2Qgig/TDQdwPTSc3VvKHvB9wQMDok/6oUwKph6BxKCwoxOEfvA1k+wQVxwTep6G7bFptlMi5QMnLpuo5hSMHAPlCNKmw20A8dwTnmV1eMJ2PmV1dMd3a27vJiCQIehTIl070x+9fu8AaRdbNkcXHM+dkxp6fHPHl8n4uLK4bBb+/Ntl3jA0KOdk6Kc2slTV4bsiyTMbXSaDOh6yTHbjlfEoNmNCr4+JcfsV43hBROZ63F2ozxdMzh9QP2D68zmsx44613qUa77Nz8A95752uenN1ktnuANQX2JRZZ3gWyUc7l1ZJmtWY2nshn2tNS+FrLfLVCW0NZVZRVyaisubo64/MvfsXxxaUgAEYxrUfcuH6NvMhRCnIM0RgpuK3BBzAx4mIa32stnXBmBb1SMX2XQnwmSlxVtFZ+XCl0or1prTAJyg9RJe+1hDDGgMrE/DYoxRAG8dRBYr9MsgVQSpEZTfARqxAhDoKwxsTjCsmVeNNc6NS1KmNRbc/lYsG678WfLQQuVz17N6eEEFhcXWGLHG0zqnJEwINVaDSrZs3OzowsKxgNnt385YyE/TBAVaXCVXydpCBIXBI/QFSczBf82Y8/4eMvv8EFs+WNoiS3b7GcE33D0OR4P+XGrQ9483v/Fv/Vv/xz/uyvfkxVWuoy42BnyrX9Xaajmqoomc+vuHPnFdnnlIxfbSZFS9SSW2uMlnzSVEHHNGoriyKN6eWg00bTrFtsVoAWyoFSmvFohHgdDXSdNLcq/V6lRHFos0w4tslMVziZYhy6Qamy3KbXl4JNKfHX6vuWLMuTy7vZ+uRpbVitVhRFKVYxxiTlsqjOrRZqwTAMCK/gN3+9vbfLZDIjxMiXx085OT/h8OiONLZOGhRtxHjTGCvPQSKSOw3GRHZ3x2Il1PV8+MknnF1cgQso16OCp5iM6QbZz7XOKMcV7eICazXlwZGc12WgrCGEgXx3gg8KRWCyM0EpTb4zBS3fb1EXuLZDKUM9mko2cKYYTUqUCqyXHVleM/RLunWLsjohRRYXHSbTlNWIrl2LQCeKSK0cTckKEe107ZqsLCnqiSjbtWQOD+sBm5d0qxXT2Q7BGL789GM+ePMd9nZ3ZfSn4nZfVzoAGVp5otJoE8mzGmW8PFNaE1VI/K1f7/pWRZaKEjGjktRbKUVWZNgidbJKA57owFYlpigweS5eRYlQKrwARWaT15NWZDYTZZKSh6Vfr+nbFqMMeVliskLGD1tFGIn/I5tCVpTJ6DNtjs6htCFqCRb1MUAItM2Kpw/XYIyMHhRYbTBZTnCB0LcorSkyUU50XUtZ1ezs7snrhsj56QneDVTjMTv7B0J0Xiy4ujwlxsBoMhG41AXW8yvxlLEZuwcHZFlOs25YzS+xWqOyEaPpBJRifn6Z4G3IihzfWtZtRzcMxMRNmUwnDPMF87OTb7Nsv/Yl4dwZu1PF22/so1PnB0Jc7/uetssY1TLeHYYBNzgya2kaEQQAid/WE5zcvO0QKaoZXe/JMtCZZugcwyDEUR8CRlv6oRcp8WiUfFqgbTq6tqeuawIDO7s7dG1HCJ6yKun7nmXXM52MadYNo8mE4J0c3MHjOxlhBhTFeMo7N474wIih4GI5Z70Wzt3ySgquddeCkqBopTUhigWJ0uLhpAvLjVt3OTq6zbPHj/n684/o2iV1XfLNvXvM5/Nk2Cn3aJZJBttstsPewXXu3H4dtbrg8qM/YvL2j7h8kjObGcqq46oVPuHwLdyEv+01GlWMd6bMl2uKSU0XHM2lKFy7tiO4IT0vkel0RnQBjGbv2k0efP05JydnYBRFntOOG16/c4c8l5xRMoOJslmhddon5JAL3hMjqVAVfqb3wpMMqXkERZZGHTGh4Sr6NJpNNhubEZ5RRC/BpDHG5CavU96aScHu4mknv1nQncEHGaUpJSNJIwo2YzQ6gEpmyJvcv+gHNAalDJ3WnJ5dMl/ME6E+sHvjFabjMctmTT6qMXnO4cEhuvf4tO0ZoHEdq0cPqYqcV7KBKntJvLu014njeYqDUaLEW3cDP/3lF3zy9WPOLq4oM82P3rvL6X7G//df/8mWZtJ2PcaKgnRnd8J3f/QHvPedH/HhZ/f5L/7L/xd1KaM6/ACux3VrYhywVjGqp+TWUuQ5VZFtLXicG8hzoV60bSc8qKSSLotSisCkTR+GSIhKMuWKWugoUYo/gzQK2siaee8wyohxcoxoK55XPqTzAkXXN4xHI0JUolDVJlnwxC0J3zuHsjLSynMRNWljxAuxE7sNrRVFUeGGnqEPmFzSQGKyP5nPl7Rdx/XDfV5Wn2SR5+DLJ4+4d/qU67fvkmfJrBOHijJlMkbEIJGIIzD0UlzuzKbEJCC5f/8xX3/2FcN6xdC2woctatZXLTG6ZAruiX6N0ZZu1dMsltsEDqUkscUrIYqrEJNATAtVIvn6pLIAHwPLqwuUiuS2YH4u1JfoHOvLMyKR4LzsG1HSRDSe0Hs6v0j+jD3WCI1kaNf4PuUkG4XveyHWq+RykGmcEz6fD4H52TnW5gTX8cnnn/MP/+D3UaLJQxtJG8CImEVFEeoZq7E5KJVLsR0DkYDWzbdYs29x5bolUIEWN3eUShuQjFFIM29bFKi8ENJcMnmL4bmXEcGnCBSNTQGbaIjO4fuBoW0Sf0sz9D1uuMIWBbas0iLIRokSOwaFEBKN1QTncKFHW/FCMUbsJEAJzJ86Yh/lYRuUp+3WDE1Lu5inlHe2xOm8KKjGE5QtKOtKOpvgKYylXawTcd1weHhNvF7cwMXxCevVkqIs2D28hrUZbdtwcna6VauMJxP84Lk8OZUbmUBeVNSzKb7tOX38kDDITWOLkvF0h+XTY5aX5xuq2m/8EnJ6QGvLbGcqbvUbWDR1uOumZzSqKUtD17f0gyPLPU3biEmqAaIihIGoSzoHOqtxQWOsYRgcvusFmlUyWgrO4+moqhLnJLJno96pR7XYZ2hF7xx+vpCoEh+ZTCas1y1lUdK2PW3Xo/SaGAN5nuODp65HgMaYgjwT/oAPEDHsHUy5OymJznNxfkHXy9j38qoXJacWabe4y1u0sdT1hBu3XiEMnicP7jO/PEMpz9nJMWenJ0QE1fOJu6RVJrP/rECrjNViTXt+yT//5N8w/e/+JUOI5Ddv8p13ThncjDbsJi7Yy1pjx8HuDpPpJPElNeztg4ocPz0RCwBteHZ+yenZGWWRY1G8cuc249G/z/0vP2W5uMJow86kZlbLSJkovjImzzDCKJRopSCbZtAag3T7QYlSRywxgoTMJ/uHkEyMiSn1UrM1e9TaYLQ4mAcnEv/gPc7LgRsIYuyfRkybyCWjzVarYJSYIysjwfBKKUwaE3oCWWETn1PyFbO8ZLVa07lBEFdrOesDpiqZ7u1weOMm0Vimsx2syanqChsCF8srclugMk0fJMqJEBjaNbcOnPAzX8b6aksIMRUkiuW6oet7Pv7qGT/51WecXa5465UD/tkf/ohb1w+oioyvHu7zx3/6p/heooDWrWO5XvK977zPP/4n/zY3br/KovX83/4f/xVD3zIZlWS5YVznoLz4TfmBjz/6Jd/97neo6oLM6q0pcETWo2ka4UQl5KouZTrhEw2l7zopqDd7+yYaJ3ne4WRUlxclIXiUNlSF8LA2RPmqrpONgtnGCeV5QZ+MR43ZKN8zjMnS9ITtGFBrnWxnFH030DaSXWm3hHotNJUgvOO+b+m6gRgVQz+wtzNFqSjxPS/hWgf45KsvObu65Obd18jyBPVGLa74ymPRAjAgfLXQN1iTY/KMGF06fyP/5q//ktXVCVVRkNclygdMtGKhoSI2WjIzELQnxAKl5GxURHQUfmsYxFrDD2sBKqJ4Wm64qDFIMwWKLMpeYLTlR7/3O/Q+8NOf/JjM1wiXV6OqjTWHKP2NEcU2KqJMFHcDlTE2GoMCa8iyiDESWRXQaOXkPQRHjCJiqfZ20cpi8Jii5tnxI/wA0/EEnYHWIqjROgIWpWXvyXTax+RLJvqEoseXRHz3waDqSpCgtNkJlC+xIdoYtMmwRUHYIE5OOgoR/InicGhFFWLygtC1IpXsYGgaII37koxb+YBE1UYZPSrJmXLByYd2TsYQNqBNLRCl90Q3gJZFV0lRYlP4c4ge5wa00lglcueuWQvUTnrgYgQvr9wqhbYdQ7MSanf0LC7PEslQHLK1ligFbTV5lpPNdpIhqmd+tcBqRNGWF+RFyfJqweLijL5v0cYw2d2lKkcsr65ollfEGNB5wWgyISsLLp88o20WBAsmmm+zbL/2FUOS3mv5PFWZbzdJUX9F+s4xDI7RuGB1vKLvB7K8QCXfMxVS1Eh0DH1kUo+xec5ysaRth+1mVY1qlosVMQwiiY4e772MbrxnVNXbsGYf5N9VVUUIISmGBmBNTGaQdT1iMpnStR390NI0a4oiIV3LFXt7e8lqo0z3UkbvFCdna4LriC4wtL0U6NqwbjsZEaVOfNPVXju6Tfb/a++9w+y6ynv/z1q7njZ9RtKoWbIk917A2KaYnhvSSHITSMiFEHJJyI8bEkgjCUkgBNJIbgK5CWkkEFroYEMgYBuMuy1bkq1idY1G087MnLbrWr8/1p5xtyVrRqOyPs/jx/bMmXPWzDpn73e95ft1AnY8/CBxp4lA0GlHHDxwkCzTxT9Ghd5xnCLYFyRJSrvVRitotVo0sy7Go4RyqcKwu5wjkw2GBvcyPtnH4uWxzA1s/779VKs1ql1VSkFAHKd0OhFBWKbRmEZKQXetwsxMjiMDmp0mrYMH8L2As8+5gNnZJr7rMtBdIXRSpOeaE22xV44sbl5aIdzC8kIXmaW8sOVxmFf9zosIyHFcdJ6Y0j6mxCiEntc1UsI0rgspcTUkeVZMIgtz6pXm4qyEmu/jAuMOQGEiLIUJtKRwzBlfKzzHQziFQwXGGqkUeLiOCcISpUiaEaHvsXrdOdTWnkdXtUK73TASNcKhu6eHWq2b2elpmp02ruMSZzG+8ChVKkgtSNGEOqbPnSpsnhYeKYwkQTtO2LF3lO/fu52p6Rl6amUu3LSGDWuWM7ysF1eaUtfUTIMduw/R6WSgFd21MhvOPpvnP/95XHrJpXT39iKkw3//1/d4ZN9+/FJAKQxQaRvPM7YolUqV7q5umo0W2x9+mPXrzqZcLpFlKbky2clca1OC0xqtMwLfKyQlzOdqruleFb6nrueiMQc7vyjllYvyl9HU0vPTf3mu8DwTHIORiDBTptpMhAszrSowUj2OlHiug8rNe1QVjfMArmv6MF3HaBe2O01UntBoNKhWyub9lMYgzGc6CPxi4lqQZeb/jer7omwv2/c8QiwEy9esw/UdtHSNWphJG6NxjA+kNMmNLE3xQx+0j0aR5xItUkQWM9BT4VBXDyO7HyHttCHPzH1PKIQyhyHmPGKBOT9J08eUgzBlf6VzhDKJK2OgZgJWtBEiLeZ256tPUgi+f8t3TJYty4sDFWhpetskRdVMCCNVgZlUllIh8UxJWOjiwCSJpQDdMB9xMWfhZrJqxrRFFD2aEiFzmG3Rqk9zcPQA/YMDOI5AunNG1Q7gIZ0cpDaZQ8yAg8BBy6w4sOmj3rNjCrJqvVW8WpWOcsjbKa5nggw994cQohCWy4pTskarnFSZHZgbcdbFhKJIUrMtQhqvMNOJbn4ppYqN04VIaU7UnMXzQpQZRyJLEvzCNkE6Yj774bgeShsRO0eDqxVRJzVNid6jKewk7dCMoiLblhnx0eIDSSFToYs3RpYZ42CjFizNBEdRzzf6X22ytJioLOQKTDVTgIAORXkDAEEQhqbXyDdq9K7rM1OfJM0S3LCEdBz8cgnP9aiPHCaJWmgtcaXAqVaOZduOCa2ZX/+cCjKq2C8gS3Kidk5XrYvR8YhO3MEvV5Ea4jzFUxlKg85zkjjB80KEFHT3dtOlBUkU0Ww2qdcncRyPWq2GQBhJiCTFD4yqb5ZnZkhB5VSqFTrtDmEY0okiKuUyjpfjhT5xu0Ucx2gEQRAQhAFR3Kavr48oTo2uktY0Gk1jSwR0ooje/n4zDRonhU5MibBaozFbZ3T8CFlq9lrOj26b905//zJGDx5kpj6F1ppWs8OuXXvotCMzLJFm82Uxx/MIAh/f88iShE6rgefOWfcIEA617l4QLqkaRuRNKuUJ0ubg4u0vkmYnIk1zmrOz9A30ozU0m23iJCEslXClS1gumc+azgnKHrkSZFGHJIrIs5QoT0kiF7/LQQtzsDDinCbL7LimxDbXxC+FCyhyT5BlEllMDSqtcbWRxzAq8saf1NEUfVGmz8qREvK8GKpQ5ELMZ9DQ2ngmamOQDI65UUqzNpMZKbJhApyifCFdrxjKEQjh4miFK00JqRz6xotUSjLfR5UkSZYSlgJKCbSiltFc8kyQVS6ViZMI6UpEPNdUL+hEHXIh6OvqoataZblsMVzroFuTi7K/oxMNHtz1MA/s2EuaJqwe6uPVL7qMS845i8A3lYU4zTk8NcOdm3dw+10PMDY1Rl9PL9dcdQkvvO46zlp3ltE/Krw7Dx2Z4Cvf+DauY0p4Ko1MYJunhL6PQJEkTXp7u9m29WF2bN/B8573PBO0ChMEzUnZeK4HeQ7KaJZFUYznm8cEQQCuSxLHJO02fmB6PPNc4UjTfC4dWSi5y3mHhzAMjXahH8xnpIQU87IQWWZKilobcWm0CdRMAOagM6MsP9ezJoSg0WkSdVpMjB8h8H1cz6NWq+I5fmEBJHEC32RZigOo0tqUWh2XNDt6HaVjYTpqsebsjXhu0auoTDBgPgam9K1z0FmOKpr4NQLyHKkEQuYoLfGcgBe+5BWctWE9+3bvoznTJIsjskSRZglZHqPTvCgLx2S5INe5SUQUk+K6OFTnushY6RydZ4WET14kpI24qNFJzI1grxYmU1UMxpmgpfCyLGRg0EaJ3gRKyiQ3lCyew1R40IVu4WPuWcz1aAKFCR9CuIUguUA6Dr0Dy1m1aS19A32mrKhLiEL/CiGM4nshLp1jSqIC8/QSE5dIvUhBlhuW6ExPEOUBjhsg5t9iwkwhSGGcuZPCd0o65GlivAiLX3xOu0oAFH9kJKiiriu1QmUZoEwGyjXTWa50wZFkaWIuvMrEuHmujJ6HdI21AbpIaUqkSomiDiozGzo/ZotE+i55MX5vAsVCbV4pnLl1IsizjKjdQhRZNK2UseHxTYOlyk2ZgSwzTXFakBeTi8bHD2BOzV5BnqHQNGfbzNmySATN6UmEyZuTConj+aRJjM5zvDmF+LhDrjLK1dqxbNsxMPcGB2lSgOZNLB1zc9OS2CvR6KQMVKr0rjiLRHgkAnzhEaUK6ZqRdvKcdnOKwwcV5WqNSrUb6YEfuAyEvWR5TqvZYao+gZSSSqVCV1eXmejROXESE4YlksKkVaOJk4RqtUpa+JS1Wi0qpRLtdocwNBfYqfqUueHmxr4jDMNCJNMESp2oQ6VqSlxJkpueDCGM96Hj0ttfQROyb89eDh3Yz/IVK5DlGkIYb7J2s8nk2Ai5ipmZnmLLlgepF5IfeWbuH3NNkb7nUS6FuL4LGtIsJk48TEnWIfA9enq6kW6A61aYbA0w1DvGdKNvkfYXqpUynTQji2Ok0niOw5HJOlpp4sL2SUpJp90kDEtooWk3jVhks9UyBxXXHDRmG7Oo7gHKnovrP6o3hwThOfMZAZ1rc0oURkXZFQ4ok+2kGIN3HYoj7FxavjBf1xq3GIsPAm++3yhLMxzXlKOM96dPkhoPTFdKksT82zhJmDH3NFdooU0WHjOqjTbN8Brj+xe4Dl3VkFrZA1VithEjpaJU8slmpjkyNUGCZ9wMEKRZigw9hONCmkOu8RwzzRaGJbTyKVWroBVRs4nvThOpOsEi9WT942e/SW9XiedduJbzN5zFQFeFMAzIspRGs8PBw5Ns3XWAu7Y+QnNmmjUreviRV/8YF1+4ieUDgziuj0LTmJ5GCEW5XOXLX/02Rw6N4HtQ6irjuWYvSuWSyQI5DqEnifKMNEv4729/kw0b1rFsaNBM42rzPlDFYdbzXOIkMX22jgvCBERzfVt+EBKTEATl4pBUqMBj7hdSyMLD1GSeXNcpjKGZv/miQbi+acL2vaJkRXHvUMXBq2H6Sot+vlIYFiLTqphw7qa7p8e8ZjG1mWVpkb33kZlCuqI4JLuFFRAgIAgWx1+2u6vHBDZ5bm74jjQlLOZ6TzVZAlLqYqAHhMrRwpjCm+BBEAQ+fW4fPV2Xcv45F5pSY5Fl1kVyBFUkGpR+XFCkiqBKFEMiqjBK19okJZQCoXSRzVNoJR7zfV3oiiXm68wFWsq8htbkWpi5geJreTEslReBjdYZiszYe2kzxWy+rszatdHYFMKsWwofLTRIhcQh8EqUK2V6enrwQs9k1Ysmd6P+b/rKTCY9Iy/u0VorUwJFFv1ER8cxBVmN0YMoJKKY+tLKRP1+EBjX9CRFaIxCb5qSZlFxajEyCnPZEDAbJbTpipuTqHEwTbBCOGZziskIleUmCyGlsTxxCtsFzzOmq0LMl5nSuGOCLW1KhXMjnqKYkjNvRY1KUzMCLkSRrjQBjxCiuBiY6NtxzJuS4s2l8hylzWnYlU7xJszme1LmArG8OMWZzTI9V9qMyJjgpWgEltKZb8I1kbx53azoCcqzjGaWzVsPaSno1GePZduOniSDAOZSoUZVX6F0ZlKlYS+xV8GJD5OnOV19fYy3q4gSdKJJwiwjkA46S429CgmTh/eze2aCNNactfF8lq9aQ1AKkJ6kp7eHHhRpmtJqRUy2J/C9gEqlglv1iOMYlZuR8jAskaYJKs9J07S4qLkEYQnpuMZjrBiz7u7tpdNqksZGjbjRbDIwMECeZnR1m4kUnefmvaM17XYb0YmoVKvMTNVpx23Ou/hCmtOTHNq/j+b0OI5fYv3Z5zF5ZJSZ6ToPb9nMoZFDjE2MolRmpmrzrHgPmQu/7xn161KpNO/jGQQhngftZotyOaSnu0qSO2hcorQb3zuA4yxOPwfAbH2GWJvRdM9x2bv/AO0kZqCrB8dxiOOE9swMqdYoJli+bDlxnKJ0ZoZYMnMiLFcrTBxpcGDkEOtWr8LxQkpBSJabgCwXAkfq+TKfEkXzem4+F9oRSGWEKoVjLspO0e8BmF4t6SDy4r2njSMECHzHKfbOXDicwCGjyDwKU7bxg6DIij1q1O54wvTYFWLJGo0SRlHcZMOM3o/jOGQKkjhHSY9SyaXZaXFkcoLpVkRY8ogKOxmd55BnxK0mOUYPLVO50RkqTs6BdHF9l6mpSWrVFiJX6NLi3IRf85LLuGDDWqq1KkKbhvNGq8XOvSN8+46t7Ds8hefAReecxfMvewUbz15DV1cVR7qmhw1oN5t4vks5LHPXAw9z8/fvJFMRVbdG4LnUahWkhFq1TFgKSJIE16lSKQcsH15Fu9MhLJeMZARm6n2uT8xcc3URwDvF4IHJQniej8rNlHkYBqSFV6znmvKxHwSFjY0uKgwmyNLaTHsZLTtdyD8Ys/g0TfB8z/T7FZkscxjWhFLOD9mo4sDcbBkf2izLCIOgaIx30DojKbxsw1KJPC+qHEVvjtLGL1MX1k7t1uJMgCuU6avKC29gHHNPFgKhTHA5l2mbuwcqjfEo5NH1ok2GBuGbXmahwc2RysXRJpDR+tFq0ny+YO6+XfTvam0+h+bzKYogZ65klyPU3H23qJ8W/ZWIHK3EfMbJRAZzVlwOUhXXCV00q0hlMlNFgGyyTQKlzRCDGY4w1wPjyqHmA15zRcnRqpC4kDlKmkDdJM6NLYXR/8zR2keQF/8IY5WlimfOxfz9/Wg5piAriRK0CNG0TXrdD5CeR55lxt2coq9CUzSRSZQw6cO5cp6QLsLzML5yJsvlFEafzEeq5o8lKNKAAvI4Mv5TYYgSID2XPEmJ0wZuoZUyV4oEUQRXRepQmkBJFc81f9rJTYpXSHPx1cqMGMu5Zj1pavi6sE8wDfzmFEGagjAZG6RZrcBc0OcCN4QRQ9XFxI8EMkwq1+yoeT4zSv7YBKd5E2dJamQ7pBmL11lqauDzZceFJY8jqFZN0Fd8MBSmtKOFR+KV8fwySVqi0YwodZXJhKYdCXxZIyalLB5Veg98l8Tz8VzYveMBdmy7l66uQc4+7zI2nn8hvQP9SBcCzyPsC1Bo4iih2WqaxmYhKFUrOI5Du9DVyotTpx/4uK5LHMc4roMvPZqFfUizMUsSp/T19NJot+jq6qLdbpPnijxXZO2I2ZlZli9fTqvdolarMTY+TrM1i+u69A8OksUJtYrH1VdezL/80yfo6h2gv7ef3TsfYe/+nbRnpzgyPkqaJCaoyI3Sves65hQcFMGi69JuxaYR3PdwhMuyoeWoIU19ZgyBJnBdUzbWg0RJlVq4ONOjANJzIIfQc/ECnyxN6A7LTLdbhQifoNOJiOMOQglKfok0S02fmdKUSgGO69BoNHA8l1vvvQPf81i9wjOCkYW5e+A45oYgRHHRNjeAHDP5qTSYeYa5KT6NgzRaeTo3GQ7p4HsOWV5c2DGHJUcw36fnSJPh8ClOy8XnyS1svKQw5UaNMFIOKsPzXZO5RiOV6dtJlekTcpA02ylIF+k4pEnCTKNJfXaah/bsJ+xdTuCbZutOs4kbmJ6fmdkZHM8DnKJsagQ40yzjyPgopXIZkbTp9TMz2ewEi7K/F6xfTSn0SaKYVjti666DfH/zwxyZnGagt5uXXXcpV19yHqtXLje9SZ6xqknSBHPbNtUIleeMTk7xqc9/lTxPqJaqVEJJb7cJrISAWiUg8DRdtTJCKbq6ujlv0yaGlq+kUqmQqwzBow3smcrxPd+If1ZLCCHJVEqapLiOQ640lbBEnmcICb7rkCRmL5w50WttDqFCYPrh5vSzKPp/5ybHKaYRHa8ooxkdLMdx5w+yShldxjAsvPHSlLKsGI9erfGKgalGo0GSxsY8XGnS3Hi3+r5RAddFOWZuYtbzfcJFymTpXBeuKmZww0zzmdt4rkG6IUqY4TCUKR+iQWgjrynEXBmvyCJhDtJSOKbMN1cyUyYtqGWOUMIMupkVmAyRNpObJtv0aKAMRdCCKib0tMkYU1iXiWJuS4N25oI+U5hDmQlT89Tma0LP3xGLYMs8xhyenPn3LMJksEwWSxelalXElBpj+WYuCAIfRxZ6V1ogpNFQ03MBoSgkYLSLIEWoQlJBFbOaWqP00eugHVOQFSUu2gURxUAM81OAcybQRjIBoZHCATE3XQKKvBAg1FA0Ls4FNyqHXGfGFBojZCicIvCheBMXo95xkiKkSe9RjIwmpkZTOOnMqbfOTZGYLcpVBnkRDc/76TE/9WgaNczFWzoerleYj7qeEf8UjlH+lkVWK82QnmsuSMncJIRLqgvROySSjNDJ6K7ldGJodSQ5XvGmgCx/VL26kB0rUrJmukoWfSR5mphsWyFTkWeLI3SXY9Ky4BU3LPOJ0BpwQ6T0SKMOWrnUZ6bRPSla+mRpTpZLgqBETUdIzAnKdRzKlTJBuJKZ6SPs3bWH8SP7OHBgN9/99n+xbsP5XHrl1aw+ex1B2UE6UK6UqFRrpGlCq9mi1W6ick25XMbzvEKd2afd6lAKS/ihS55lzDZm6e3rMb0ZJd+YvcYRmUoJZEAcd+jr60cIQb1ex3EcpiamiJJo/uS3fGiIJEkJvYDtO7bR3+ez5f4tZEgylbNz13YC3+Xc8zax5YEHyVVGqhRZai5cnuvh+BLH96jWuog6CYdGxghKZarVCl7oMzExyejoGK7rEpZ8Zqs1KmWN7ij6lq8CeR69vQ8tyv4CxFlOp9MiQlKOA3oHBkxJXWlKYUiuzGkdoYnimJlmg2a7ReD5lMtlsjSjE8VkaUToeYhSjZu/dxsvfP4LqHV3UQpLlMslAs/HkQ7CM6l24ZqTtIdPmiYErgnEcmBOwyFX5oTqSA9HukUPoxG5dQqFZcdxQCuTbVDgSpMhdwrl7VybsoijVZE1MR0VSgpCz0gIuI6xeZGONM2zSuFrIy2hc0WuzYEwjRKm6tM0Wm127tqJLtXo7qoWr5GRx6a84uY57VbTBGbmZGhOyZk5tEUKppst1na79IQpjoTm7PSi7G8nzXn4of3seGQPD+8ZpRklrFrez+t/9BVcet7ZdNdq8xn8TqdD0opNWVZlpmE7V2RxQq4UX7nxO0yOmQnTPI3JlUdauDx4fkgU5/hFw7iUHkrDquVDDC1fhltk9JWe0xpzKBVyJio32VAzeVpksXwfVxdT346D7/vzwyMU7xGNwPM8kiSB4rouZSFSi/k5WWSpjNBkcXAVZoDB9ATn8/1TcyrfWZbPi4j6vk+WmT4ulZv7Rq2rhpTdOFKQZkYo0/cD8qKqgcbcU4QwvWNpRpotzkHYiOOaAQedufM2V1oUn5Eim6VljlZOcU+hKHOZgEmQo5TDfEJKO8Whn0KiYO7OaQ4j5mdNUgBhMmdamyGUubDKKKEX/69AikKKQc3d4ZwiGTFXhjOlvCK6KfSnzCRxTuEmgzS/Jw5Cu2iRmmyUKI5IAuZG7fVcsCVFkX1zwDHN6qLIbJm3jEQV/ZzmoypNcKVNwA0CBxOgKqEebcLXJgmjFKYKpY5+f48qyJprJsy1SUmaFzBvKl0EV1IYfQ4tTC1UCMdMAzleka4XZEIBafEnF0awVTpI6Zo/juMaw2ZhRAuNoJ4x46SQbRDiMa9fVBak6+EYG220MtL+c1YuulCb13mG1EarQ84FYVIgAvPG1AkIV5A74ChMUOO6JuvUbpoNMe8l8iRD5uZDWnSQgMaoXRfvue4arB6EnhBcKXEqHeI0Z6yRcWjCYWbGNSeNXBVjUGK+RDk/b26ObkX5UxcBZ/6Y/oKjrwsfDblrTrWOUsWpwaTltRIIr0SGRpHRjhJmZxK8Vgd80yuXZxmzkYPnKHol5gNdHIxq3QOs33QucRRzcN9B4jSj3Zrk3ru+w0Ob76F3YAUXX3k1F115Ob0DvTiOwnUdevu6EUiiKKHdjmg0ZovyAPNBervdJokjumo1XM8zmRPpI3AohWWqNSMOOBD0E0URWdGEWeuqMTUxRVd3F1NTU0jHYXZmlpnZaSpBibFDezmwN6M+26S3r4f+3n7q0w3arRa7dzyM7/k8//nXsGf3bnbu3I3wRCE8KvAcFweHg6PjlLtq9PT2EAYh1VoXy4ZWUOmuMjp6mAN79jE+NsGGDetIOjFjU3Uuv/IKHHVgQff1sfi+RxI5Zizd95mYmiBwPfzAlH2kBC3NlFLgmYbiwaFBXIxcS3dfLyMH9zMxfhitc0qBz/SM4p4HH+DCC87DL1WoRRHVUgXXlfie0dHzhY/rmIy2K43Tg6PNdJAp15uLWq41vmsOL/Bom5aGeU0tpTG9IEWGWaBRuclczPXbyEIjz5GCLM9wpLHKSWWOFCaDlaU5MXPNvEVyO8vJVEanE5NlGTOdFlsefJCxVpt1512KUpBGMdJzCctGXsT1AzP4kaV4UuI7DqnS5FLiOoKwyAKsHypTCSN84ZO0F+eg9O9f+BZ7R6aohj7XXHk+529YzVlrhumuVYpAyJRw5xqFBSar7khJ1OnMa2rdee9WNj+wxSj8p0Yzqqs7JAh9hFYIlVOpVAnKJao9/YRBiOcH1Lq7SJIIP9SmX01KonaHIPdJ0rg4LCpmGhBFEV3VHvzAjPD7rls4f5ifE0UArIoqgLHZEfhFg7tSc96oJqvieeZwOPc+QJlgLkmMT64sysdmqEbN9x+qYjjDTCSmxedAIqVxCpkT9cxyZYY5tGkLSFKT0QrD0AxcOSaLLbR+VCF8gdE6R6kU8iLroo0UkXQpsgZ58Zly5kt3RnJgruwnikqF+R3mfu+5spyi6LXSRUVCwFzxzwwMy2KaMQUt0cIx8Yso/GIxz6+0ZwK2IpCl0Kkzpc0MjRG/NSXGIuNWvCNNISo3wd/cGgEjrUDxe5lmdrQuyoLCjMXPBdVao4UJQk02TJrKk54TY5gLxjXzybAiuMyFkZPBMZPPjtaPusco849a6CCr0TD15WiRTl+nI2PAzkV+jUajQXd394I9nzC2cYXq9aPpVIQHbkCSJXgIgnIXololVkZhPdMKV5uR5rp0CD2PgKIPTWuk8OjuGWDtunVoDQf3HiRNMhCKTDWZmdjNf315N9/42hfZdP6lXHP99azbuI6g7Bm5h1KZUqlMrjLiJKLdSkjTFNER5HlGpVymVApJ0tSMgitoNBsMDvbPN7S3W008L6DdnqG7t4fZwmNuzketr7+fkZFD9Pb2su3+Bxgbn2S22Wb5mtX09vXSbqS0IkWqSozHNaaORDx0eJJNmy7lkoHVbN/6EJIMIVJSlROlHYIwpK+/Dykd4iil0xlnfGwc1/Xo6x9kaPkKRg7sZ8v9D7Jq9SpGJyfJ0pxzz1m86UKRq2J8vxhSyTOE6+GHAXEh4BlKB9/xAWWsUhwXzw+IowjfdZgY2UvUrAMaV7gMDAwyMzvL7XfexbkbNyCWDROnKZXCOsr1+yzIKQAATrtJREFUjFo+EkLfZLhyLQh9D9AErpF+kbI4l6qsOKmaC7rjiEL3xsjG5FqZARmtyDJBnsTG8N1xyDNjW5Xnar73BkAXZR6llekNygVpnmEESk0mOk8zFNJo7zkurXaH+zdvZrzZYdXZ5xZZrpxcCELhIERGUC7TXanhea4pc8cJcZZTqpRNuSlT9Pf0kMQR3WWJ51dBtcjccFH298jEDNdefg4vvPoihpcN4Doe7ajD2PgUvufhuabykKVGFscRRmNwrvk7jmLuvG8Ht9x2N54DSInnSEpBSOAKAseUcH3fwRU5gSfI4jbCc9i1az+Dy1fhlj1uvPWT5FmbwPXxnYDA94xhOBLfc2hGbeI8RSlBuVSj7NeohFUobKguPv95xpi3yLrN6fXluZkEfDTABpQZhJKei3BlITRtrGXQGqdI2ahcmX6tYurXBCBFD2xWZPJUThgWpVwhCq/OYvrQfHHeb7VcLlMulTEZtcLnsOjLdI/B2+6YyGKECiF3yLVEeg6yOGQomSNlhtASrT0oynhaCRPcUIjUFkGNVkUJTs81c+dFoCZAZ8yFI3PJDJOsm+utMgM8JplUCIM/2gBl/hsXZAaYUuR88KO9IpwpfkSIomxYTADyaGlyrjxpQqDC1kgIk5nC/FsIUNoEiIU2gVEgUBJZZMeVAISLLLJoJpNmyswSUCI3fxPmyp0aoZxijQqpjEWYJjX9aseg0XFU74Th4WEOHDhgxu3na7OWpWJuMmZ4eHhBn9fU5SkygLq4sAiEH5IjieIOynFxwyqdJEakGi1ilAxIizKmKJcYixKWO8pYoghFngHSpadviJWpyY5l6iDJtPF9E44g9CRJ1mTrvTdzz/dvZdnwKp533XVcdtWVDC0fxPEk0pFUymUqlRoq13Q6HSAgSVKmp2dpdyL6BweYrU/T1VUzU34qLzwxBTMzM3i+R9SOQQu6uruo1+sMLVvG9OQkYclncnSCkYP7OTx2hNVnnUO5azkHZ2vsrpepx1208xLZ8peRLtMkyuHeNOHKVW0GSi/jwGSETA8j67tp5fvoHQyMurkwWkFagiuMKvn4+ChKmzHyRhzzyJ7dDCxfQWN2mnvvmVjQfX0sUaEtJIvsaW93D9VqDd/zqQtB1GqbkpDnF+K6GUk7wnVi3NAnjjvMzE7je67JXkgjc1GtdTM5PsFd997PmuFx1qxejR5chvAcnMT4f3lSGtsMxwchaKGRDqaJvfjbpLlGeg5OkSk3YZa5OTjSnN7zPC/Mjk2pP1eqkEzACNlmeTHprM3Jt7iZCkyWI8sV5v5ryixm5Lw4FQszCHH4wEEeOXiQPKyy7rwLCMMKoedTb9RNVl07eF6A53rkUYskArQyf7tSyQRYeUaUxERpTLVaYX/Lpy9wWO8opFycTNZbXvdKNqxZhSONPEaj1SDPjE0YApI4fowzg5maM31PZnDnga07uPOuu4HU9DLGCWknolIKzLBPUKFaDU32MMsIXEnJN9WGOEm56667ePHLX0S9Po6bJ1R6BxFOTpZrGq0WOQlCQ5JHZErjCI+ZxjhoTckro4WkE8eMT+3nBZe/isH+YVOGc42ul7lXikIA00ihSFn8HmmGyCVpFhGGReP9XKCtzP4LaQKkOE4olcrEcTyvq6WLLIdSZtiCosxoJpxNL12em2ZovyitAjSbTTMV6ftmGhKTVV0M4jhlZmaaOFG4oY/vh3iewHHKSFfguAoIEDJFCLcol5lMnxJz04EZkBVZLRedzZUXi0Jh0RsF0rSMFA3zGm20LlXRWjM/NCZRWpoSnXklU40SAG7RP1X0KRudJowClosROknN81IotQsByjFlynnp+EI5oGhJ0nNlJW0eZwIl/ejjhQbHNLsrkQG5mRAsridzZUstcvK5DF+hs6a1RBR9bRK3SBZkRkJCZeTKBLVHy1EFWVJKVq1adfTPall0FjKDNYc51TAvQWEalh1wyySZIo1TZGgEXPNckUvjH6adovySpQinSjtzqbdT+kouAuMF5gcS3wno7RkkS3PSTKI4zGzdWAxJbSQW3CAncBT1sd185uM7+dJ/fo6LLruUF97wEjaes5GwXEI45rFd3d1I6RBFMe1OGx1F1KemzGlJaUYPH2FwcIhWq02SJAghCfyQmUaDaqXCzPQMjusSRxGtTptarYu9+x4mjmMGhjcw4ZzPXSNnMxWVSZUZFRZAXri0h36Mi8++esKFwz3saXgofz26cg1xNoXQB3CjzZTEBK4o+g9RiFwTCI84zkiSGC0laZyQRHHhu7lIp2DAkw6Ja7IAtVoX0pEMLhtiYrxOIF3KvT00mm2SuINblKqbnTZBySfIFdvvvJNWq01LaxyvXWgNCcgVudT4Xb3sPHiIXXv20N1VY8WKFQyvHKa/1kOluwutNQ5mSCbOVdG/aRTiTY+uaWY3FX1pNLeEUV12imxBkufILEdSZDaKyUNTSlSo3Pi3qUJpWgjM+LeQZHlmNLpclzwxfUEm8MqYnp5h74F9HBqfwCl1sXLdeXT39RN4ASXfJ4o6VMIKrU7HTEtmGUEpIOp0SFRu/FDznNCpgeNRrVRx4xidZfhegPJKbGmX2ZVoPH8l8N0F39+h3m4ypclUjlI5fhgQejXy3IhCx0UvUp5nuK4zXxpDetx9zwPcfMvt5CqhVK6itaa/uwrdVVxHUCkHRqQVjZQa33eQQuCHZXr7B9l76Aj33nc3lz3v0mLiXNJSMWmjQVYMFTkOlMIqKlY4QlP2SgwvW07oG+mIw/UjdESL/fVddO75EmuGNjLYM0Rf9yBBUCLwSjiFkGopDFBAlHRwpEfgh/NixWmaFOXAwsPPNQNDsvDW9FzTtB0EHnn+aDZLoIqBCpMZ8TyPIAgJ/KKkVgx6OUX/V5alVKolssyUNRGF5dQiKb7feNOXmJmuA+AEEs/zcd0qni/xPRff85B+CccX+G4ZzzMSNr7rITyJ5/p4jofv+AjXx3M0OB5CuniFqLjrFOLiRSZZmB4CU5aVIAtxUiEo7LCMn99cCVHOTRJiSvSmqSYvsmBzQZsJoHTRK2em+h2ThRMmMzY3w1YcB0BkRRk0R+GZth7xaMO9LAJBxNzzpGiZzvdiPdpdI1GqyJhpt0gqpEZ2AoHURbsMGiE7ZMotpGNSc7BTOble4HKh5cxBg/kAUDSHOmXccpWs1UFlmjTX+HmOoxVZ1EF7ZkxaFmefXBt9lnaU0+1qc+pMEvwgMJM/jkdPzyCdJCPLNXme4acprsjJtcTNHFwJroSS59BKm9z5vW9zx23fZf3ZG7j+xS/i0suvoHdwCBkIPFcQBj6lUkBfbw9Rp0Oj0aDValDt6qbdjqlUqlQqgiiKzBSY65AkMcKR9PX2cuTIEXr7Bti9fTsTE4eZkcsYVS9ktLGKXBdyImRkWqC10Xzb2N/hBy+J8HSbLI0hzekKHQ7WS+yf8hlv9DGu+5kO1zGgt7BMbMEhR6qcHKNs77o+QjjItvHp3L93Lz1Dy6gs0ng/QFDy8WVI6Bghxe7ubqRSdHfXaKiMgcE+YiU5uG8fk+MTlFyPMCyjdca+R7YblXsX8sT0VSKdIoDBTOGWfXrDQdIopdlss3XHLrbs2EE1COjr6WZgYIAVy1cwMDBAlmWUyiXMD+fm0qyNF5nKTW9iroxlTqIUjjRq4MY3UJsLvIZMFb6FWpFmmal0Fz1djnBQhWSFUuaG0Yo65FGbqZkGR44cYWJyilYnQjse5f4+lp21ifXnXsxQfy/tKMb1PBqzM+SRxnN8pIpot1soFO2oTblSobvabRruHSPX4HuhaeD2IJeSWm835VKJTrtFQ/TTKG6UC43nh4SlsnGSwPwN4yjGcSVJEpsgNFVFP5PE9XymZ1rccdft7NjxCJVaiM4DyuUqSZriOS7tJKXVaeG60mSzPJOdDYOQcrlMnKS0Wh1qtS48z2X3zh24UtBJUuJOSk5G2QvMQUq7NFvTJgjUkGqF06zTVekhzlIONsZoZ7P4ssTozH5a8TQ7DnhEeYeuUi9nD5/PYPdKVgysJElccqXwfJegFMxnpLzAL0zeczzPp9FoolWO53t4jouQEkcWhthFSWquR81xnELOwgiWKmUyV1IKc52TEteVRFEHz/NBgiM8kx0SAp0VHq+LFGTt2LUXFccEJQdZckwGy4kQboTEx8VHOS7IHGNB4xhpFKnJnRypQhxpSoICgSOM76EudMBEMazmSoUULkIZKyIz7+WYn5WO6bKSZuBEC6cQEzeTjo4UONoxrcaOLLwiwREuQhoZDUcUgwnS9NQ5IkA6jxrGz/VUmn55Wdj2mX/PDdmZGM5IOJiBk0LQvPidTEnRx3GL3istjIxHIVhsWguM04HSCql0kWBQKJFC5hbXJdMHrvMYnSekuaLZOHqJDhtkWeaZm2qcm7rJ8XGrgygCJBGu7+D7oZn8azWo+QHaddB5MSfiuKRJSp6nJO0mkevjlwPj9aXLRVOj8RXs6x0kSRI6cUQ0NkaIJtPmQ+M6msCFJE3xPZeu0KUV5ezZ/RA7tz/E4NByrrz6Sq56/vM5a/0GSl1duJ6xRahUqpTLVVOSzHLq09NM1Y1VTJblOI5LrVphdnaWgYEhZurTSM+jXp9Fq5R1F13PHfcN0lQrivPRXD9AMTKtNFJlXH9Oyopq2xgqB6bPp68n57zhhFQHfP5OxcMTFVIqjOoriBni3MpDuPkEaRKjhAPK9LyFgc/49DQTE0cYHx0hWLVm0fZY5saGKFc5cRKxZ/cUrutSq5SJspywOYvjlnA8j+6eGkma0W60SNoNJkcPEXg+y3r7mZyeJtfaaJcpo1FVjP2azGTo4YU+KquSJkYY9lB9lgMTdR54eCeu6xA4Dl3VGqVqmZ5SiVKpTFgJ6ap1I6SDFwbmVJk6uJ5DJh3TTI2ZRJRFb06WZYUtkyJXGUZhJcN1JDOzs3Q6HUSmmZiZZnpmmjhOibOMNM9wwhJeuUJ1eBmDw6vxhES4Ep1GjI6MUKlUqYYhQW8fM55H3OlQkwLRgHYUI1E0Ww3yKCIoVejp6sERkr7eHuqzM7ieS5obDTxHODQbbdI0ph3Fi7K/UadNnET4vkfgGV0gI0WjabValMplcATlMKTdiXlw80Pcefd9dDoNPEfgyW7KVSOiK2TNGMDHHaKOkemJYwiDCtVqCVyfXEGmjJPCwEAffUNDRHnC2MwUWdLGc120yomcCEcaeYVW3qa31sOa/o0MdK8g8EsIKZhpTdLdmaGUhVS8Gn21AXq7+8nyHC2NcW+adqhPj9Pb1U1v9wBBWDZZSzAHp8Kxw3U9XMdof1WrFZqtFmlqHEZcIealePLcWKyBCZDjqGMC9zyb9z7UWhBHHYLAR0qjv5UkGVlmRJOl48xntoQwDfilRToo5bMN4s4sM0dS3MDHK/m4fhk/NINarhciZBnXzdGOh+ME5E6GViFCZ0gicm2a86XOyQhwpRk0U2Kuq0niSIVQAmgXwZdCaYksyqhaKNACV+SgXBTa+P1pYTTy5iYItQblgczn5RWEeLRULoQ0WlrSSD0Y4U9jPi1gPgMlJGRG4c6UEYuAS5lOrSKIclFO/phmeoAM5eh5oXMh5xrjIdNmUlRoDykyM1QmkiIrnpHnEnIQGA3GTOdoFZNkkiSeOuo9s0GW5QloM9zoaCj1ksgKpCmZhjAwwp+tThOUIok6lLyAODN6NEqDylKEysmSmDjKcH0PjZnm0ar4UKEIAp+enn5a7RYTs9N4SYYnzQRbXozbesJkSbQShK5PTy2k0Y6Ymhrhy1/+It/77re54NxNXHL51Wy88BKWDa8iKJUKjyqJHzgsX7acPFd0ojYzM9MkScrU1BRhUCKJYhqtGfoHlrP9kW0sW7eJT9+/koYMi37PYkL1sVOcwjgJVP0YKcALA7QOzNRPniFFSogiTCchD1EYrZ1JvZpdeR/nljdD+ggibZPGRq9roj6JEDC8ah0TY5MMDg0t2u5GUYpUEBa+jpPTMziOJI7NAMFsIyL0FZ1mk3ZjBgBHZ+RRh6jTQaiM4fXrmZqewUEj/RIDy1bT1d3N0LLlaG0Ok0fGj9BpNZmYmCAQDl65hO+5pHlO1GoRdyKUyqhP1xk/MsXuOeHiXONLByUUrnRxCxmGwPPQQJpnSGm0tbIsLxwXIE9TkjSfz07Me5V5EpWB8Dz8UgWvVEOWHYZ6evDDCkqZspnrB1RCH52ZuavmTIMURavVpt1sUq6EqCxncGCQwyMHybQi9DzyPCVOMjpZaoaUpMPQsiEc18ETgkargdCaI6OHibt7aDUbgIP0/EXZX4Wgu1wBUWj9KWUalqVDtVpDOoI0ydm1Zx93372NiYkJsjzDdSXlUpkg9CiFAV3dvWTKiCZ7nkMp9NA6x/cDgsA3Hn2uR6Yy/FKJyfosF118CWHvAN+49ROMzO4jTTO6y2X6qjWE0mQqxZUew11rWTGwGt8r0WjVaTUbjNT3cXhmH6EfsHJgDY708GSJWtBNmmj6+gZZNjiMIz2SJKar1k1YqphsMHNCp4XsjhBFyU+icoUjBJWSGTQwWSzT6P9YU+is8NhV0jE9V655HafowwpKZcIwxHFM87UflEBAVVSNdEiem8b3LFvUvuXdW3eQJlFRchA4rmumLl0zyT/X7C6EcTJxXCPH4ji+0bBzXYTn4rrgS9fozrk+OD6uB9IJADMJ7HhGGkkID3SA4wkcmRsTZSnN16Sa75sUjkBrByUclCzcH7RAigitPLTIiqb7ogcM06YltYdQEbkwTfGqmP43TfCmZ0qoQkRcFrIKmURJZTq1Cn0vJVIjlqwlOQngGTkHaYSxNRTK7xlCO6hCR0yqBClilDaffUdrcg2aFFSOyDQ5KXmeoLKMVGmi9Oj9g22QZZlnTkUZIHcClFtFZRlJ1EIIiR+UUFlKGndIOhGOWyinS+NMLx0j0hgnMSI3atN5phBOTprEOO7clJCZCPGDEj29fcxMTpJPtXEkOI5CSiMbIR23kKuQJi2todod0FspMdtOmJxt8N3v380DD25j3dqVbDrvAjaeexHrNp5Pz8AynMAYizpSGkPkSpVcpTQaDdqtDvWZKfr7Bzm07yADy7u5bd8Qu6d8pDaZOTCNr8xNtGjTt6YUJLERsQzCgDQ1fzehU1Sm6EQ5U5MtUJmRCUGhcRlrV5mdXEV45BZ0NE6apQigUqnihyU8r4TvOkyNLV7ju5GZypmZnUEIQdkPKZcC3FJIHEXkWQKVKnluDMqnp2cROiP1fXJcGp2Uuzc/gJbQP7SansFllIMyjlDkSUQcJ+bmWwjp1ipVgiAgyzJ8P6CrUsEdHCTPoVytkmYZU1OTeFIwPTtrzJZ7e4lbTcYO7iVu1knznBaYU62UVMolwlKFmek6mTTOCeWuKitqvaRpymxrtrh6m34s16+y/ryLKJWqKBRhqYwAZqanyVIz7i8KxwXhuZQcl3KtRtzuIASmnw9BLqCWZrhC4ksPP/RotprUqj1Ix6UUhggHJqcmqXZ1IbQmLP4WmXBozDZRQtDX3UWaLk7ju8kcGa9Akz5zikbzmH0HDzEyMsq+PaNMTDTpxAme6xAGLpWuPoTQeJ5Df3+f8d4svCOd3m46cQfXkVRrNVxX4gnjfuEGPu0oYXJqnGazBaSMt8aQHqzoHqSvVKHiV2knLYQj6O/upxz0EqUR49OHKIdVaqUeQs+nrzrA8OBqzltzifHPS00wMTFzhB0HH2bdmrO5cNPlVCo1SqWqKUNJc9OWQs4P7ShNYT4OwjGHJNdxSbLUfLaVCbBc1zTsCyGM9Y7KzcRiESSFYRGYiTnTd0GapkUPm1GIn/t5U0Z0cRxJu91hzh93oYla7cII22SKfNf49qap8Q2UQpKr1Fw3tcTIjBkx3rlMk8QMEJpBD6MjNyembepzcxN8ej6LZQRPhSnNyTlJhmJisPAzEq4ueqjcQstKIKRnTJnx5gcRhHRN5kqbzLeUrunXkiCkCQrNQVnMlxwdIYu1gXBM07ojNUKa1nmEW4w/FrOTwtj8CYzGldAmS4d41DtRaYkQqZlO1br4d4IkI88KCQw6ZugydyGPyLRxFEhi/eTNeRpskGWZR881JAoH7XWhXQ+dRcStBkGpRpbnpEmHtNOm1WyQeabUgmt8GYV2cYSkHbVxMdZHKs+MiF8a4XghUhZqLNo0PJdKXVS6e5itH0GqQoA1n2tlNPom0hX42vi551pScyXdYYnB7oDZds7ETJMHt25n554DrLn/HpYtG2Llmk2ce+EVnLVhA7WeHqTrIBwHz3Xp6yvR26dIs5zZyRmkaOL1Xcldd3gU6mzMjySrue7LRz9USnjUm9oEUI5LFiVIIfEcB+k4dOKERhogXAHSKB2bk5ikFaxB9L+U3uZ/kafGOsn1Q4ZXdjFdb5HGhRfmInGkXifwAhzPMQ5PwGwjxe10TKOvC624Q9yOqZRKVCtlkjiiXK7iXXg5Rw7tIcsV/X0DnH/xlTRbLepjo8w0Z5ianqZW6cF1JH7okyCouB5oI96Y5hlRu4PvuEjXpTE9zfLlK4jSjABNX18/YblKUC7jCcHWLGJ8JDFOT0JT8gM6UcTwimX01Po5OHaYZmO2mDpXpHlMtValq7eL2UaTTtQpRsYTDu18gKHlq+kdWonOFEjJ8JqzkNJBJQnNxgwSh7jTIc5iKmFIJQzIMkWucjrtFhIYHT2MyjL6+geRjsDxAlSSkitjltzd00Oe5bQ6EZ04olYqG4kMAVJrkiwniRJSvTjZDpXnJGkKQhNlMUcmRjkwspuxI1McOjjN7HRG6JYIPEF3zccBurvKOJ6LF4SUwpByuWTsgbLcSKB4HjU/REhduBgISoFPu9MmyzJ6e3qpVKokqckMV2qCkt9HT6mbJG6jyBgeXEErjugkHRqtfWhhsqmdRpORqb2kKqGTtplsjTIxc4hmc4ZUmWxHqnKipM2Ow/ey5+A2rr/yB1jrbyTwK8SxKbsGQQkkZKnxkM2VseeZ08ASiEJoNCdNjX+i6cVSNBpmOlBrhSNdPM835fQ4xvf9QjPLiJWK4jnnJjQ7nQ5OYeFjHucyNjYxv66FxsgoaqSAIPRxXMcYNDOnayWKCAq0yJFeSBCYzHyu8yIgMlZp85NzudEHS3OFI6G7v5fVm84n6UTseuBedKaQTjFMogVazL2eCbrmJR6KDLKRWTA9WXPyEGbisJB4KNTmTU+7UYHXWhWBshFWMEFqYaU1NzVYCJBLaXqrHtWTLBTn557f1BmLxvlCLGLOO1lrc1gTc4K0Ro9LqwzEnEQERQXDuE/oorpj/vbmPqn00QfRNsiyzKfN48jUo7UMcasBaZzQac6g8oxMZWSNWVMSk5KgHBC1ItI4wlOSNEmJ221izyFptYnaDZpKIaTA9wIyHZlJkiwijWLirBinTzPCoExdSNI0xhFGuzfPE9NwmJuLhhAOFPo3c4FP4DkM1CR9lW6m2jm7RmfZtuMAO/eM0L/zEbY+cBfd3f2sXn8u5154KavOWlv4n81ZLDiMHNrN2nUr+caDHVqRMS2eF6mDR81Ni9FerRVkbVrtWTqRj5TGFifPE1rtDlGnxfT0LGnqo0UblTvFWPScNYOg7aymIgYJgnEjsujBuvUelVIXE+MZO3bMPG5fFnKPhRa0Oy3KlKhWusnSmEylRkzRdZierCMBLyxRr9dJ8wxXOnR1VwgCD8k6SkGJvq5umtOztKImUZogPWOEPdDXU0x7Gm9GleU0GrNIjKmzX6ui85xW1CJNEhwUvYPLaTcaCGUUvIXKOXxgL+OH989bsyigE0fEmSIVJeKgm8HhMun+vXRadYR0SLKMIxNTlAKPcrVK4IW0mrOkWUZHxezft5vxiQlWr1xLz/JhQldSqlaZmZomCEqoNMUv+XRmY6br0whH0tvTT6kUcLDZJFWKZrPJQF8/QeiRZ0bwshU1SaIOmdJmejPP6BsaotTTb3wZk4xodhanFNLsNE22JE0XdI/nnqfRbNDOGuwbfYT94ztpzHZoTDnkDRdXeHRVylSqVWq1Kq3mDFnUJM08SiUfqRNKXok4apEkKUmWUspyhJOaDKXnkMZtVq8aRgpBmpo+lrEjozQ7KbWuCjuPbKXenKZOyrhbx5cevUHOVGuWRqdtmuCdCkJIUp2QqgQcQGlcYQQrD3T24iDJgWbcQUiIVUbouIxNHWbz1tuYGBunt3sZfX1D+K5HUDI2RllmbNzyPCdNE0wzu1sESBT2V+bvlRaG6I5jhgJ8z6MTRcXwhMlSmalkcw3wfX8+8EpT85lJ03R+Og4opBwCDh8+vCj7q7UxL/YKa7osS1GFrIlwHOMTWdiaOY6D73kIcoR0cISLKkprjvAKGQOHXObEcYckSfAch6Hhc3nlD72WmakpHr7vDtJC5iIIKuiiDK+LrJfJquUYVXYTiSSJERwPKyUzXSiE8XXUApWZHk4hPaQrEY5jAjGVo1JjM+c7xtOUwrXBC42nJUIUiQAzGZqnGXmaIx2JGxhZGK0kyPwxU4mpsfeZ18RSoE1wOff31EVZU5Mh5yQc0KAzlPIBUXgNG0cUpZ35TPTR7K/QCy0bbjnlOHjwIKtXr17qZViewIEDBxZMOsXu8cnJQu2x3d+TE7u/pzdHs782yLKglGJkZMSKzZ4kPFZsVsqF6e2we3xysdB7bPf35MLu7+nNseyvDbIsFovFYrFYFoHFGYGwWCwWi8ViOcOxQZbFYrFYLBbLImCDLIvFYrFYLJZFwAZZFovFYrFYLIuADbIsFovFYrFYFgEbZFksFovFYrEsAjbIslgsFovFYlkEbJBlsVgsFovFsgjYIMtisVgsFotlEbBBlsVisVgsFssiYIMsi8VisVgslkXABlkWi8VisVgsi4ANsiwWi8VisVgWARtkWSwWi8VisSwCNsiyWCwWi8ViWQRskGWxWCwWi8WyCNggy2KxWCwWi2URsEGWxWKxWCwWyyJggyyLxWKxWCyWRcAGWRaLxWKxWCyLgA2yLBaLxWKxWBYBG2RZLBaLxWKxLAI2yLJYLBaLxWJZBGyQZbFYLBaLxbII2CDLYrFYLBaLZRGwQZbFYrFYLBbLImCDLIvFYrFYLJZFwAZZFovFYrFYLIuADbIsFovFYrFYFgEbZFksFovFYrEsAjbIslgsFovFYlkEbJBlsVgsFovFsgjYIMtisVgsFotlEbBBlsVisVgsFssiYIMsi8VisVgslkXABlkWi8VisVgsi4ANsiwWi8VisVgWARtkWSwWi8VisSwCNsiyWCwWi8ViWQRskGWxWCwWi8WyCNggy2KxWCwWi2URsEGWxWKxWCwWyyJggyyLxWKxWCyWRcAGWRaLxWKxWCyLgA2yLBaLxWKxWBYBG2RZLBaLxWKxLAI2yLJYLBaLxWJZBNylXoBl6VFKMTIyQq1WQwix1Ms549Fa02g0GB4eRsqFOQfZPT65WOg9tvt7cmH39/TmWPbXBlkWRkZGWL169VIvw/IEDhw4wKpVqxbkuewen5ws1B7b/T05sft7enM0+2uDLAu1Wm2pl2B5ChZyXxZ7j7u6qnzqT34d9fb3Qpot6mudCMo/8CLuf8k1/Mbv/DlJki7a6yzUvtjP8MmJ3d/Tm6PZFxtkWWz6+SRlIfdlsfd4cLCPoVJIQ+tFfZ0TRdfqFdx575ZFDbBg4fbFfoZPTuz+nt4czb7YIMtisRw3QeAjxuuQ5Uu9lAUhfeQAZ1998VIvw2J5WoLAx/e9BXmuLMuIomRBnmsOvQgHrhMVbAoBpVI432+VZTmdTvScnssGWRaLxfIE8rFJ1q5chhBiUW4WFsvxEIYBf/Gh36XSP7wg709PpMxM1RdgZXMoDuw9QJo9uXVg395DrF4zjJTHFjB1d3cxMDTIifg4CiHoGRggzswafR3xjre/h9HR8WN+LhtkWSwWyxPIR8cY7u0iDIPnfIK1WBYL3/co96/iV/75IEmmjvv5eiounrtwik61UsBQz/lP+vqynoA/+KOf4qNfP8jdj8we03OqUc2BByMydWIOPe3oCK3YZObf/4az6enpskGWxWKxLAT5dIOeLKdcDm2QZTkp0VoTJTlJdvxBx2iysKVCgG37n/y1s5aV0MCWfU2+88DUgr/mYpEfR2BnxUgtFovliWQZ5UaL5csHlnolZwy+79Hf38O5567niisuXDCNOItlKTmqTJYVQju5WAyxSovF8hiURhwcZd261WzdumupV3Na4TiSMAxZtqyfNWuG2bjxLDZuXM369cvp66vQ29uLUi4/+qO/wv79h5d6uRbLcXFUQZYVQjs5WUixSovF8njUkYkFm946Xent7WLjxnV43qO3kunpWXbt2kccJ4RhQG9vFytXLmfdulVccMEG1qxZxtBQmXI5JUnGyLI2vg+VikApybZt+7nllnsZG5tcwt/MYlkYjirIskJoJyd2XyyWxUO1OqxevWKpl3FSsmnTWfzoj76CF7/4Ilz3MJ2O6a8RQlCtnsWRI5Lx8WlWr+6nVlMoVafZPMT09GY6nSmOHOlmYOBcuro2onWVbdsOs3PnvdTrs1SrZW688ZYFlxSwWJaCowqybInw5MTui8WyeGT7DtGz6aylXsZJx9q1w/zt376Lev3bbN36PprNI8CjjcFSevT2rkdKhx07xsmyiFKpj4GBc1m79kX09W0kSULq9SYHD04ShimbNg1x9dVrCMOAMOzCcRw+8pFPLN0vabEsEHa60GKxWCxHhes6vPWtP83k5H/x8MOff8rHKJUyObmdMOzhggt+khUrLqe7ew1SemRZRKs1RhQdQog6w8MujuPjeX00Ghn33nuQu+/eyo033nyCfzOLZXGwQZbFYjluSqWA0y6x6jhLvYKTjhe96Gqe97xBvve9Dz/rY9O0TaMxgueV2bXr60xP76FcHmBg4DxKpdVE0TDbtx/i3nsfYOvWXezde5BGo2XFXy2nFTbIslgsx8yll57Hueeun///yy47H/aPLOGKFh5vw1ocz+WSS84FYM+eg8zONpd4VUuHEIIf/uEb2LXrc2RZ51kfn+cJO3Z8pfhZycaN/4Na7WX8679+nfvv/woHDozS6XROiIK3xbJU2CDLYrEcE0Hg8/vv/AXW3nInulXcbB/cQfueLUu7sAVG1Wf4IW8dr/nJH0D29/D5kTH+4I/+5owNCrq7a2zatIz77995TD8nhGTTptcQRVfxa7/2Xg4fPnbVbIvlVMUGWZaTAiEEnudSKoX09XXT39/L6tUrnlSC0hoOHDhMu/3kk/Tk5DRRFD/p60mSEsePTiopdfw2FGcy/f09DKNp/Mvn0PHpOwHW+tK34EvfAsAZ7OMVf/dH/OOqFRw4cGZqN23adBauO0EUTR/1z5gA6weJ46t517v+nPHxU0fl22JZCGyQZVlyqtUyv/f7b2fZ8DAyrKFkwJGGYt9YTCd5fEBU8iXXDAY8dpoJwHcFfWVFnj7ekFQIgU9MY9b4ZAkUB/cfJMty9u45QKvVKYK2iNnZBs1mmyzLiaIIrRfHSf5U55xz1hEeOkLnNA6wnkg+PkX15jv4wR98yRk79Xb99VcyNnYfT/zsPR2O43PhhT/NzMwm3vlOG2BZzkxskGVZcnp7u+lbdxG/9Yl91Jt10lyT5ccW3AjAc5/ceS2EoKvs4jrme10ll/6usykFDusuupyBwOH6AR8pYbAKWZIQOhkz9Tpp1OFTn/wS3/3uPQvxa542XHDBRrLNDy/1Mk44ra98m9d+8Df41Ke+ytTUzFIv54QipeCCC9YxPv6do3q84/hceunPs2VLiT/90w+ecX8vyzNzJh1ebZBlOSmIU8Xhevyc+100PI1RqmZ85tGMy2FiOPTUz+G7Yj4o813BpesH+J8//cN873v3nLF9OE9ESsnlF51D/OGPL/VSTjjZnoMM7tzLC194NV/4wn8t9XJOMALHgThuPOsjw7CXK654K3fc0eZ97/uwNdheJFxH4EjB0WYWTxaSVDMy9eS2jtMVa3xnsRQkmSZOFeMzCYcmY7bub6I53XQJjo+uriobempkew4u9VJOPFrT/syNvOEnXkW5XFrq1SwJQjzzLcP3a1x//Xv47Gcf4Y/+yAZYi0WnE6OiWXoqp57tU6417Shf6mWcMGyQZbFYjprVq5dTm26gmu2lXsqSEG9+mLMn6rz0pdcs9VJOKFprpqbaVKvLnuVximZT88lPfu1xwyaWhSXPczpRjD0DnvzYcqHFYjlqLrvsfHhwByzmhKbj4Az0Ej7vYty1xgBdC4FYswa8R0/uqtki23sILxDodof0oUfIDhwmn5xGRzGLUuPNc9r/+nne9Os/z3e+cweNRmvhX+MkRGvNyMg4F1009IyPUyoly6IzqufGYnkmbJBlsViOCiEEV19+IfGnvrrwT+65uKtWEF5zGdGFV7L1UA9JWKN+JGVmIiFLNONfe6JwZYgQ/QyuCfECyYpLX4l3ScpgpUW1PcagHkc8spNk2y7ysUl4wuTpcyXe/BDrD45yww3X8MUvfnNBnvNU4KGHHuElL7mQ3bu/xanWB2SxLBU2yLJYLEdFtVrmvBWDJDv3LujzehvW0v22n6Vz3mXc8pUZbv3rUeqjU8DRjfyP7HpC6VKA61VZvm6IC6+7lnN+wGVN1wzOI9uJv38f0Z2bHxVRfS7kivZ/fp0fftOP85WvfJs8PzP6S2677T5+7ud+kJUrr+LQoTuXejkWyynBKR9krV69Aq01Bw+OLvVSLJbTmuXLB+hptWnUZxfk+US1TPXHX03+Iz/GN/474dY/2UF9dAGmjjRkiebg9hYHt7f4hiPoXxlwwbWXcvnrX8LK1x8k/cd/I7pj87OWPWVXFRXFkKSP+3qyZQcXd9dYv341Oxc46DxZmZqa5g//8O/5y798G43GYWZnDyz1kiyWk55TuvH9qqsu4p//8nf45796NxdffM5SL8diOa256KJzcHbsgQXI3DgrBhn8yB+y56qf5E/eup8v/fW+hQmwngKVa8b3R3znPw7zof/9EH/2/oxbNr2Z6de+CdHb/Yw/665ajjv85GZv3erg3Hr3GdcA/+CD2/nQhz7HZZe9Dd+vPen7WmuCwKVaLS/B6iyWk49TNshau3Yl737Hm9j9oX9Bjo6zfPngUi/JYjmted5VFxHfdfz+hKJSpu8P/w/bmmv5p9/eydThE6eZozLN4UfafO1fx/l/N65h94+9E/+yC55+reUSwdMc4Nrf+C6vuPYKPO/UG6M/Hm688Wa+9rWdXHLJG5Dy8cUQpVKSZD/Pf/6lS7M4i+Uk46QOsoQw4pBSSiqVEkND/Zx99hquvPIi3vrW1xF/8zbG7t2K6unmntPMnNZiOZkIAp/zVg+TPPzIcT9X1xt/jJGeC/jn39pOe2ZhmtGfC52m4lOf0jzy8l/Ev+LCp36QEASXnf+U38oOjrLCkfT0PDmjczqT54qPfOQTHDw4yIYNr+KJOgIHDnyPV7/6Olz3lO9GsSwwSmuUOrWGJlxH0F91SNP02R/8VD9/LA/2PJf+/h6WLRtgw4a1RFFCHMfs33+YJEkZGTlCkjy3hczhOA4vf/kLeMmLnkdfVwWtzesO1Sr4GvRkHfKcxo697PziN/GqZepp+rSj1MuWDcyXEnfs2Mvo6LjVb7FYjpGhoX5WSEF7cvr4nsj3YN16vvBX+2hNL12ANUfUzPn0Rxv80nveTg8fIr5n65Me41+0yaz7Cdc2HcWE07MsXz54xvnyNZtt/vAPP8Jf//VvMDx8hJGRu+a/Nza2heuv/59cccUF3HHH5iVcpeVkY2o2ZapxfDHCiUYKII+YmHhun/FjCrI+9rEPsnHjOmq1Cr5vUuRaa+I4Ic8Vv/d7H+Jzn/vGc1rIHD/x46/iF195Hbs/8WVmHtmPLqLe0ZkGWRSTx4nRvxGCyopBznnDj7J53whpMZ69ceNaXvrSF7B37yFWr17BT7z6hWSbH0YpRfmNr6Wu4d8/eyOzs00A0jTjnnu20DqeaSOL5TRnzZoVeHsPGv2p54oU9L7zzTwkzuHh23ct3OKOk8ZUyic+PM3bf/dXSN/+W6iJ+uO+761bjTvUT/bE4RqtEQdHGRrqP4GrPXk4dOgIf/iHf8+f/ulbieNZJie3A5DnMbt3f5k3venHuO++bcd98LacPiitOcUSWQb93GX3jinIqtdnefBB80GamWlw4MDjLzqHD48/t1UUCCG44SXP45F//xKHbrmT8lA/WTsii2Kqq5Yzs2sf3RvWsuYV19G16SzyVSv47zvu5yN/9lG01vT2dvMXf/xr5LfdC+dvII9iHnzHH9PYNwJa44Q+g5dfwO/90a8ycvOdpM02lVXL2fe6H+LXfuODzMw8uy+XxXImsmHDWtTu47PSKb/sWrKXvJwv/e9d5E/pM7l0HNje4s4Hh7j2F3+K+h//3eOuqLJaxl236slBFpDtPsj69av41rdO5GpPHjZvfpg//uNP8Pu//xbuvvsDtFpjABw6dAfXXvtybrjhGm666ZYlXqXFsnQcU5D1S7/0HoQw9ffFUPTVWvMfn/oa737bz7D+da8h7usmHJ9i92dv4nl/8HYe+dzX6b7qYv7tG99l26e+yvbte+bd3cvlEr/5rjfjbt/D5r/7JNlTeGblUcLYnQ/yrTf+BirJaI+OI1yHaz/0boaHh2yQZbE8Da7rkk/Wn/2BT4N/wUacX/kl/vH39z9Z1+pkQMO3P3GYa/755fhf/CbJlp3z38oF+OdtILr17if/WLuD6KqcyJWedNx8853827+t5kd+5Ie5995/ACDPE7Zv/yyve91P861v3TZfabBYzjSOuTNxoYIrx5EMDPQh5eN777dv38073/cRqtUyk5PT/PIvvY5z3/5z/MVHP834+BQj376de+/d9rh1SCn51f/zc5zfbHPXn34U9QzpaZVlJNMNwoFeAILuGiwbeE4Bluu6SGmCzlIpnDeNVUoxPj6FWkzrkdMMKU377MmU3/Bdaa3BjhcpCZ93CdV3v52Pf3SGbd+bXuoVPS3jByJu+0aTa15wxeOCrN2PHGBw5TPbyZzJaK357nfv5md+5i0IIdHaXPcmJrZz7rkhK1cuZ+/eM9BQ3GJhCcVIf/zHX8UvvvaVpM8ibOj395JEMT/4kudzaLLO9GyTSy89D63Nh/uBB7bjeS4vv/Q8bvuFdz9jgAVQWzvMCz7wLry+bvZ98ZsMXno+39u5l3p9hqGhflzXZeXKIRzHedLPLls2wMBAD2vXrKRSClgx1I9fBHuVMMBpttFK4fV189cf/xJf+MKZY7lxPLRabXqCnJLv0IqXXj27Ejq87NJ+fuq6fm792pcWxQLvTMBZ1k/XL/8s0dUv5FP/NMbtXzyy1Et6ZjR8/R8PcOG7LgPvP6GYJkqSFFGtgBCL44d4GnD48DhxXCUIuokik/HM85hWaxeXX36+DbIsZyxLFmR11ap4acbIN2+jeeDwUz5GZRlxfRbhSFSa4ZZDhlcs46wiPe9Vy/zMW/4nMvDZ//EvkzxbNkoK1r76Rbi1CjLwOeenX4NwXS7Zd4iP/90f0eVIVCeGmcZTPpdOM+LpWfShUVSSInfuxSmyV4nrEi4bQAtwaxVqtTO7hHAstNsRcRQhljht5LuCV10xyE9d18+RR7bwwd/9Gx544OGlXdQpiAgDgpe/kMnrf5hv3edx/988zPTYqTHROzuRsnlPH5evXk62+wCiFDA5Nc1gb5dJt54hFjrHSrPZZu/eSWq1FfNBFsDhw3dx7bU38PnP/5c1jbackSxZkPWvH/s8mx94mFe+4jrcCzY85WMG+3sZKgW4jsNQKSTacxBdlOAE0Nx7iPHb7qV5YJTx+548ev1Egu4utn/8Szz8sc8TDvSStSOCni6ElJSXD1APfCrDQ6D0U14QyisGKb/k+dRbbfYfHidOEnY9cmBeEuLQ9++j0WiR5/kZY7WxMGhcB0Jf0oyW7ia2vDfgba/q57ff+V7uu2/bGeNJdzQ8saz/tI/rrlH7g1/nS7cP8d3fHSeNT72S+eERjX/hJrLdB8j2HOSCtSvxRsex88dPj9aa7dv3cemlQ4yPb5v/+uTkTi6//Gfp7e2a75+1LAQaiaYSPLniYjm5WLIgK0lS7rzzAe6884GnfcycEKmUgpUrl9HT0zX/vXI5ZM2alfi+y8+9881Ev/VnxM9SeqyuXMaK665gdvcBznvja9nxH19h/f/+aQ4dHmc2STg8Xmf33oN0kic3zQPk+0a4+WNfYGKibm/AC0gcp0xPjNNb9ZmYXbpx73oz5dBonQcf3G739wlsWL+KfPvuZ3yMt3Et4cuu52v3Luc7nz6MPvXiKwDG9kd4P3wxfOlbZCNHKO8fQdrM9LMSBP58P9YcUTSNEEc455z1fP/79y3Ryk4/lNKMHDjEUO86dh0+CQdJLPOc1JK8WmvyPCfPYe/eQ8Chx33/ttvMh/a8c9ZzNJrLQW83Az/xavxmG9+R6DwnzTLe9Qf/l4MHR22j+hKhtSZNUsBf6qVYnobAcZ+kH/VEam/6Ce7lcm7+g12nbIAFMH6gQ3rWBkQYoKOY6Lb7KL/yuqVe1knP6tWDNBr//YSvasbG7uOGG55vg6wFJkmSU3IwR2t9Ug04LTYndZB1tGit56Ulng63UuKsH30Z//BPn6Wvt5vrmi3SZpt0135KpcAGWEuMyjN6a2eWB9xphRA4tQq95eCU7w1vz2a03B7cvh7ykSN0br6D0nVXLPWyTmoqlRKrVg2ya9eTnTdGR+/jgguux3EcmyG2UG+eeqrvx8NJ7V14tMzMNuk5Z93Tfl9Iycaf/AHuS1I+/ekbabU7DL/oai55+88RDvaecl5KpyN79uxnoMtmsk5ZtGbq/X/HhsoIr/nlNTjeqXjGfgylErKrCkC65yDxlh2cXAIjJxdXXnkRtdo0rdaTJ0jTtAPY4MpiyHJNlp85SY3TIpN109dv5VW//VbG7t7CzCP7H6/W7Lmc8/ofwnvFdfzNuz5ImqZ89rM3EccJy5cNkKQp+/YdeoZnt5wIVK6Qp/h9+UwnP3SEqXe8l5f+xbtpTg/zX/986JTMarmeJKxI1FxQlaTM/PXH4Ay6MRwLvu/xutf9D/bu/caTerIsljlcKfBcafyIHYnnPvvFQWsTlJ3KnBZB1gMPPMwH/vk/+Y0//y12fODvOXzbvQAMXn4B5//iT/FQnPDeX3s/IyPG8mF2tsnHP/6lpVyy5QlMTk6zfkN5qZdheTqOMgCeC7Re9d7fZt/WbrbfcepNlJW7XSqiw/TY5PzXjsuz8TTnmmsuY9Mmj1tvvXOpl3JGoYFzVlVJ0qcPQiolhzWDpWeVx5lqpHz1zrGn9RW85rwefuT5Qyj13DOSy7pdpEpYUUv50BtXHdUBTHo+ozPqSdP+Qgh2H4n56E0HnrTmn7lhmAvXlBdOOF0Kyk7rOZe6T4sgS2u46aZbqNdn+MDbfobROzejsxyvUqKzYojfe9NvMvEsTbuWpeXw4THW+kubytJAGIaEYTAvy2EBz3NZvWwA1Tq6Kab80BHav/t+fu5dv84XBga4+6ZJ1Cl0Gu0e8OHQQZS12XpWfN/jjW/8EXbt+gJKnTl9NicDX/vqt/mRH/VYs+rpr5taa3bv2E/nGQ4JQeDz5p/5n3x36xT15lPbH4WehCP384l/++JzXm+nEzF5jNZcPT3dVKtPPnyvXr2cV/7MW54yKLx8fYVvf+ofi2G5haFen6HVem4iLqdFkHXxRefwwhddxeTkNPIxKf2xu7dwTqdDENhen1OBkr+0mi+dOKeRulSrZetj+RiEEAR5jpo++r9JdnAU+Xt/yE+86adYcdbVfPUfDpElJ3+gJSRcckM/auuttjx4FFx88TmsXQu33monB080mzc/zObNxy+W7DiSF730hZQD52mDLA2Mj03x4IPbj/v1joX608gyzc42+J9liecK0ieYzWul2bFjD9u37zkRS3xWTvkgy3Ecfus33sK51X6Clb2QpgxfewWTW3cyfO0V7J5tUa+feiWLM42RkTFW9MgldS7RGnI7BLFgqOlZWv/3n7juZ2fo/vWX8/EPHiLPnv7ve8kNfbRnc3bevXSf1/Nf0MvLf7KX6Tc+UYrA8lScf/4GJicffMYslhDyWae/LUuHUoqZqUmG+wc5NHlqlMUnJ6fRSRtXCtKTfCDlOQdZUgp+8if/B1dfdRE33nQL3/zmbUtim6C1phMn5CKiufUgwpFc/t5fZXxkDOV7/N77Pky7/dTiopaThyiKKXmC7rLLdOupT1OWU5A0o/Uvn+bs3zsHL/DIs6fva7j8FQOcc3mFD7xhK7MT6TMGZE9CgOfL41aYf8GPLYMHNpM+sv+of+apfE7PFFauXMbMzJZnfExf3wbGxlpWJuckRWuYmqzT3zX8jI9znNNCjOCE85yDrIsuOodff+vPovZM8OLf/f/4+Yk699237dl/cIERQlAOQ3SuSOstuq7dxNt/8wPceedmlNK029YM41RgYqLO7vtv5x9++QV87OYpvnzH2FIvybJAyK4ajdIgSj19P4Z0BEO9GfIv/4Jf/PmXEXld3Ha75L5vzzxz4CRgcFXIi39qORvWJHznpoi7vlEne4Zm4Kej3OWy4dIa0cfuxzt7DQCqPkv+mAb4J5KPTbLxDNXQEkKwfv0wzeY3n/Fxq1a9gA9/+PvWu/AkpFIpc/bZq+nqqjKswqd93MRMwprz1iCEOOn3UUjB+vVrEEIyO9ugq6vKkSOTS1bRek5BVrkc8p53v41s+yjRSJ2+4V7OPXf9EgVZ4DsOnQN1VJzSqs+yZcsOmk1rNXAqEUUxf/RH/5cXv/gufuHXf41GJ2PbviYTs8nTTrxYTg3kQC/33y9IOk8fLLm+wNn5EO2v30p16w6W/fQPseZNV3Hxy5bxpb/Zx9jepz4srbuoxi+/dwXiPz9D66P/zQ9fdzXn/dqP8NVPNqkfiZ/xNZ/I8IYy3U6Tif/+PtnohPnis0wU5fUZ3KP0dTzdCMOA5ctrbN069bSP8f0avr+eO+742AlcmeWZqFTKnH/+Bl728hdw6ZWXM6u62LyvzTdvH6On4rKsN3jSz/R3+Uh58gw2ZFmOR0JPxaOTxAjx6AD05j1tfumdv0qU5OgsYSYW9PkR2+7fzKFDR7j99vvYtWvfCYsRnlOQ5bou/bUayc4DALR2jfKKl13Lpz/9NXLbLGp5jiilufXWuwiC/8trXn4tv/yyTYx3Am57uMHdO2fYO9YhSuz760QjhDi+npo0pdr9zCW1wdUhvf4ELaXwzz0b/8d/mP/3rl2M7JzA9Ysr6FME22HFQW/dSmvvBFx0EfFMh/X3f47f/LOfZra0jNu/OMZ3/mOETuOZgyUp4aofGCT64tfJ9h9+7r/rGcS6dauoVjVJ0nzaxwwOnse2bUeYmHj6QMxyYrjggo285jU3cNnVVzCjuvjOlhk+/h9THJo8TK40joQPvHETPenBJw3+CAFfv/H2kyaLFccJ46Oj/PJrNhIlilV9LkopBNBfFYw88hB9Q8tIZJXdRyI+vbNBJzmLC9ZdyC/e8EPkEzt57x/+FaNzh6lF5DkFWa1Wm/u37+Lqvn6i0WmSeouLr9vEpk3reOihRxZ6jc+KcCVuOSBJMnO1tJyypGnGjTfezE033Ux3d42NG9dx7bWX89uvvgyvaxVbDqbceM8E9+56ZjPw54IGhHSoVEoL/tynMt3dNfo99znLWqj6LCsHYxxXPG2f1YXXdKHuugeA9re+jyj9BT/28/+LL/+7ZN+WJq4nnnI6cde9s3xgfxX4gflAzJM5fX8+g/BaaAWlmvusQdYLfmw5112nmXrjl5/T73im4Xkuv/ALP8HIyLeesel91apr+chHvm9dNZaYvr5u/uD9v8Pn70v4xGMCq8dy2dldDPt1fuF/v4fWUcq1LBVaa/70A3/H2UVZ/8iRiXmJhSRJmZioUy6HrFkzzCWXnMtbfvZneMuHH+G7W+s4UvCzNwzzZx96D7/0lt9kdvbpDwkLwXMKsvJcMTY2iThrEACd5jizMStWDC1JkKVzRd5JkJ7LVKtJo7G4fzTL4qM1TE83uOuuB7jrrgfwvH9n5cplvPKV1/PTL/yhxQmyNBycyli2bIAdO/Yu+POfqjiORDTa6OS5lQvUbJNVs9sY3riRAw892dtucHXIFYP7iT55l/lCntP64jfxtu7kp194NfqVF1MfOo/N322y/c5pRne3ac1kaAVprJg49OSJqMMHjk5uQki46EV9/PjbltH8/feTHx5/Tr/jmcZVV13MZZf1cOut33raxzxaKvy3E7gyy1Ph+x71yOGTNz85uAIIPMlbX72Sf/i/f3nSB1hzHDp0hEOHnmzjNEez2Wbbtl089NAjrFkzzBteeg1/9cV95Epzy5YpXnPJMlx38YdWnnPj+5YtO/iJl76QZKqJVpqk5rF//8hCru3o0YAUBP1Vdk3USZ7jzcBy8pKmGXv3HuJ737uHc65/zdNVj47/dY5los1y1KSf/Byvfv1v8oVWyPjByGScQsmytSV+5m3dVP72o6RPyJSlu/aR7toH/heoXbiJl155Ia/8+Yto9w4zOh2y9+GY3ZsbHNrZojGVksaKo3V1cVzB8MYyL3n9MM97RQ/xRz9G55a7FuE3P/0ol0Pe+tafZNeuz5PnTz/yPzBwLtu2HWF8/OkHBywnhnY7ojfMWD0Qsnfsyf2N15zbg6rv5Xvfu2cJVre4aK352Me+wN/8/bV8ZUWZQ5MR/+eH1/Dpf/83pqYWvxn+OQdZX7vxZq686iJ+4JwLAc2nbvw2u3cf/djzQuN1lQhW9vHvf/ofti/sNGZ0dII1tYhff+067twxw5a9DerN9Lib48uBw4su6uV5G8t8vfHkbIvl+MiPTLD2ax/mbc+7lEMvWIO7bg3LNnZRjSfp/NWfkD68++l/OEmJ791KfO9WkJ9BVEoMrRlmeN0qXnjxWpIXLyOqDjKVVpnuBEwcyRnZ1aE+GtOefbwcSFh1OPuyLi5/eT9nr9Oou+5m9lduIr5ny9IJtJ1i3HDDNaxY0eR733vmoLS392w+//nNtlR4EjA72+STH/sUH3zjz/E3N46x54gJtLJc04pyfvYly/jXD/3ZaZugOHx4jM9+4jP8zk++gSzXzOy9ny984ZmnYheK5xxkJUnK7bffzw+ceyHCdbnzzgeW7sMkQPouwnOYnbVK3aczExN13vEr7+baa6/gh666hF9+2UbGOiG375jlvl2z7B5t0znK5nghYONwhR96/iBXrguZ3L+DP/ndv+eBB06sqvEpwQJoSaYP74aHd7NCCEQpQEtJI83Qx9LrpRS60SLZupNk685H1+Z5DFTLLBvs58INa/Av34hYv44cibtiCBGaiSmpUtQDW+l8+hNM3beNfGwCO7569HR31/hf/+s1bN/+j2j9zH1u3d1nsXv3TSdoZZZn4z//8+vs2zfCG/7Xa3EuNi4o3T09KBkwuvt+br/9/qVd4CLz2c/exMjIGGmacs89W0+YddpxKb4rpZC+i4pTzjpr5UKt6ZjX8MC2nax82bXc+dAudu8+sCTrsJw49u8/zP79X+GTn/wq3d1VzjtvA1dddTHvfPklBN0b2D2huHXrNJv3NBibTp7Ug2CCqzI/e8Mw5/Z3+NoXv8xv/cUdHDhwmOwZxDLPVNI0I+vrwRnsIz+yANM4WqMXUiBYA0mKmppBTc2Qbt9N+6vfYW6uW4QBzAmGKmVee4GyVrJS5lndd08ThBC8+c0/QRDsYGLioWd8rJQeUg6wb9/C+cdZjg+tNXfd9QB33/3g/NeCwMcrhlpO1yzWHGmacfPNJ97E/LiCrD17DkIthCSjVHp6IbPFRCnN+//k//Hhj3yCqakZssyqhZ8paK2Znm7w/e/fx/e/fx+e5zI01M/FF5/DdddeyRuvO5+mrrL1QMRM+9H3xdnLS2zs7fDFz36GP//Kt5meXvgm+tOJyclp/u6L3+Qd7/81kn/7IrrzaICU7j7wjGKdS4rWoFnYgM5zoZC0CK68CPn/vYFbPnPjwj3/ScyVV17Ia15zMbff/h70szS/BUGNdtuxHqAnIY+VYYiimOgZzKMtx89xBVm7dx/gc/99K+ees46vfvU7C7SkYyeOE8ZO1gu95YSRptn8xMmNN95CtVpmzZphNm06C/kYaY9bOxEf/P79Nrg6SrTWfPwTX2Ziss5V112BwGQ1bnjR1fjv/suTN8haYGR3jZ6/ejczWoMQHJCSP/uLf+LOOzcv9dIWna6uKu9858+xY8e/E0XTz/r4cnmAsbGGvYFbzniOK8iK44T3/fGHcRzntE81Wk495kZ4t23btdRLOeVRSnHjjbdw4423AMav78KzVrHsTCoHOQ57gDe/64OkaXZGZQF+7MdeQbV6gIceuveoHt/Ts47Nm/fZpnfLGc9xBVlgNLPsNJ/Fcgai1HPWzjpVyfOcen3mjOrdW7lyGa9//Ut58MH3P2uZcI6urtXs2LFnkVdmsZz8WHl0i8XyHNDEgNPXs9QLsSwiUkre9KbXMjt7G7OzB4/ypwTl8jB79tghJIvFBlkWi+WYyXPF7kOjuKuXL/VSThiyq4pyFl8h+mTila+8jhtuWMP27V886p9xHA/oPiG+cBbLyY4NsiwWy3PijrseJHzVC0GeGRIG5Vddz633bTtjSoXr1q3iHe/4SR544O+f0QT6iYRhD40G1t7MYsEGWRaL5Tly6613c3D1CsIXXLHUS1l0ZG836oZrlnSK+kRSKoX85m++mbGxr1GvP4Ma/1PQ03MWe/aMnTCxR4vlZMYGWRaL5ZiQUjA42MfQUD//8Mmv4L/nVwivvXypl7VouKuW0/W+X+Wj3/r+GSF2LITg53/+x1mzZoZHHvnGMf/80NBF3HXXVutSZLFwlNOF2n5aTkrsvlhONNVqhd/5zbfwwnPWUzo8BnmO9/Bu3JdfR7JtF6p+emmPuWetxH/fO/jgV7/Dpz/9NZQ6/Sepn//8S/nxH7+K229/D0odm7izEJJq9SwefPCWRVqdxXJqcVRBVqNhVXtPRhqNBt3d3Uu9DMsZxEUXbeJ/dFWZfsvvMDvdOD1NlR2JO7yM8NrLUT/ycn7/Xz/HTTfdclr+qk/kqqsu5g/+4H+xZctHiKL6Mf+871fJ8x4OHTqyCKuzWE49jirIGh4e5sCBA9RqNcQZ4tN1MqO1ptFoMDw8vNRLsZxBCCF4yYufR3rXg6ddxmo+sHrB5XgveT6H+7q48f6H+NoH/p777992xgRY73vfz7Njx0eYmHj4OT9Pnufk+ZkxHGCxPBtHFWRJKVm1atVir8VyDNgMluVE4roOb3jDj/Lai8+h/U+fWerlLAiiXMLbsIbg8gtxn3cJo/093LT5Yf7rnz/L1q07aTbbS73EE4KUkhe96Cp+67dex44df3dcAVaadvC8jFqtSqPRWsBVWiynJset+G6xWE5/zjvvbP6/l72Axq/+MfmR4/MqlF1VgqsuIjt0hHx8CtVowQlQjhflEu7q5QQXn4t35YV01q5kV7vDbXc/yN3//Fm2bdt1xgRWcwwM9PJLv/Q6brjhLB588G+ZnNxxXM+nVIpSU6xYMcDIiC0ZWiw2yLJYLM/Khg1nwQPbyUfHH/f18Lor8NavId19wPRnKUV26Ag6Kxqmc4Wanp0f0pCVMl2/98vcKiW1MGBlV5VqnlOamEbvPUg+MkZ24DDZwVF0nqOjGDU189wW7Xt4Z60iuOTRoGpvFHPv1p3ceeMtPPzwbiYm6mTZsTV3nw5IKbn++it5xztej1L3ctttf3BMWljPhBCa3l6babdYwAZZFovlWZBS8ppXXU/0z//5+G84DqXX3MA3pGRm1TIAurqqrOzrgcIYuKdWppZmjzbIBwH/9P17+cjf/Qd5nlMqlejqqrBs2QBr1w6zfv0aVl5xASt6u1mxfIChvYeY+D/vg+cw1ef099D72/+b1vkbeM/7/x+3f+hfmJiok6ZnXlD1WJYvH+TNb/4JXvay9Wzb9lHGxrYAC9N0Vir1o/VK7r//oQV5PovlVMcGWRaL5RkRQiClRFTL81/zNqyl+itv4OHeGn/+rj9l9DEZLikfld/zfY8g8Of/X2tNq9WeN5Vvtdq0Wm0OHx5/3I25XA7527/6XSpf+tZzCrAA8sPjTLz9vdTe+jp+6kdexq5dex+3zjON1atX8LrX/SAvf/klNBp3cdtt71mw7NWjr/ECvvvdh5iYOPbJRIvldMQGWRaL5RnJ85y//sgn+Nvf+SV6rr2cfNd+vJdew5995w4++9mv0253Hvf4x2pJRVFMFMXH/JovecnzuTxOqN9y15O/6bkEF51DumsfavaZgwQ102Dmg//Aupdfyz/8/q/wV//5dT7zmRvPGGscgHPOWc/rX/8arr12E9PTt3HPPb9Pp3N8fXVPheuGrFz5Yj7wgX9Y8Oe2WE5VbJBlsaKmJykLuS/H+1z33ruVn3rH+9i4cS1nnbWK7Ja7+OQnv0qyCA3rQgh+4GUvYPwfP0P8xOcX0PWm11J/1YvoU5r8u3fTufkOdBSj05z0kX3zpcp5lKL19Vtxt+zgbb/xFur1WW666eQQy1yoPX665ymVQt773l/BcXaxbdu/0OnUEaKHcrlnQV73sfT0rGXr1mm2bDm+5vnTicXeX8vScjT7IrTdvTOegwcPsnr16qVehuUJHDhwYMGkU+wen5ws1B7b/T05sft7enM0+2uDLAtKKUZGRqzY7EnCY8VmH9vfdDzYPT65WOg9tvt7cmH39/TmWPbXBlkWi8VisVgsi8DCHJMtFovFYrFYLI/DBlkWi8VisVgsi4ANsiwWi8VisVgWARtkWSwWi8VisSwCNsiyWCwWi8ViWQRskGWxWCwWi8WyCNggy2KxWCwWi2UR+P8BstK7Z4mgRL8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 750x300 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 5\n",
    "imgs = train_features[0:n] + train_labels[0:n]\n",
    "imgs = [img.permute(1,2,0) for img in imgs]\n",
    "d2l.show_images(imgs, 2, n);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3eb5e755",
   "metadata": {
    "origin_pos": 14
   },
   "source": [
    "接下来，我们[**列举RGB颜色值和类名**]。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8127e683",
   "metadata": {
    "origin_pos": 15,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#@save\n",
    "VOC_COLORMAP = [[0, 0, 0], [128, 0, 0], [0, 128, 0], [128, 128, 0],\n",
    "                [0, 0, 128], [128, 0, 128], [0, 128, 128], [128, 128, 128],\n",
    "                [64, 0, 0], [192, 0, 0], [64, 128, 0], [192, 128, 0],\n",
    "                [64, 0, 128], [192, 0, 128], [64, 128, 128], [192, 128, 128],\n",
    "                [0, 64, 0], [128, 64, 0], [0, 192, 0], [128, 192, 0],\n",
    "                [0, 64, 128]]\n",
    "\n",
    "#@save\n",
    "VOC_CLASSES = ['background', 'aeroplane', 'bicycle', 'bird', 'boat',\n",
    "               'bottle', 'bus', 'car', 'cat', 'chair', 'cow',\n",
    "               'diningtable', 'dog', 'horse', 'motorbike', 'person',\n",
    "               'potted plant', 'sheep', 'sofa', 'train', 'tv/monitor']  # 看来貌似使用的是映射(索引)的方式来的"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46f61b54",
   "metadata": {
    "origin_pos": 16
   },
   "source": [
    "通过上面定义的两个常量，我们可以方便地[**查找标签中每个像素的类索引**]。\n",
    "我们定义了`voc_colormap2label`函数来构建从上述RGB颜色值到类别索引的映射，而`voc_label_indices`函数将RGB值映射到在Pascal VOC2012数据集中的类别索引。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "36949805",
   "metadata": {
    "origin_pos": 18,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#@save\n",
    "def voc_colormap2label():\n",
    "    \"\"\"构建从RGB到VOC类别索引的映射\"\"\"\n",
    "    colormap2label = torch.zeros(256 ** 3, dtype=torch.long)\n",
    "    for i, colormap in enumerate(VOC_COLORMAP):\n",
    "        colormap2label[\n",
    "            (colormap[0] * 256 + colormap[1]) * 256 + colormap[2]] = i\n",
    "    return colormap2label\n",
    "\n",
    "#@save\n",
    "def voc_label_indices(colormap, colormap2label):\n",
    "    \"\"\"将VOC标签中的RGB值映射到它们的类别索引\"\"\"\n",
    "    colormap = colormap.permute(1, 2, 0).numpy().astype('int32')\n",
    "    idx = ((colormap[:, :, 0] * 256 + colormap[:, :, 1]) * 256\n",
    "           + colormap[:, :, 2])\n",
    "    return colormap2label[idx]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93e6e896",
   "metadata": {
    "origin_pos": 20
   },
   "source": [
    "[**例如**]，在第一张样本图像中，飞机头部区域的类别索引为1，而背景索引为0。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8aea3591",
   "metadata": {
    "origin_pos": 21,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0, 1],\n",
       "         [0, 0, 0, 0, 0, 0, 0, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 0, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 1, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 1, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 1, 1, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 1, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 1, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 0, 1, 1, 1, 1],\n",
       "         [0, 0, 0, 0, 0, 0, 0, 0, 1, 1]]),\n",
       " 'aeroplane')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = voc_label_indices(train_labels[0], voc_colormap2label())\n",
    "y[105:115, 130:140], VOC_CLASSES[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18bcf344",
   "metadata": {
    "origin_pos": 22
   },
   "source": [
    "### 预处理数据\n",
    "\n",
    "在之前的实验，例如 :numref:`sec_alexnet`— :numref:`sec_googlenet`中，我们通过再缩放图像使其符合模型的输入形状。\n",
    "然而在语义分割中，这样做需要将预测的像素类别重新映射回原始尺寸的输入图像。\n",
    "这样的映射可能不够精确，尤其在不同语义的分割区域。\n",
    "为了避免这个问题，我们将图像裁剪为固定尺寸，而不是再缩放。\n",
    "具体来说，我们[**使用图像增广中的随机裁剪，裁剪输入图像和标签的相同区域**]。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "747378f7",
   "metadata": {
    "origin_pos": 24,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#@save\n",
    "def voc_rand_crop(feature, label, height, width):\n",
    "    \"\"\"随机裁剪特征和标签图像\"\"\"\n",
    "    rect = torchvision.transforms.RandomCrop.get_params(\n",
    "        feature, (height, width))\n",
    "    feature = torchvision.transforms.functional.crop(feature, *rect)\n",
    "    label = torchvision.transforms.functional.crop(label, *rect)\n",
    "    return feature, label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "19f90bad",
   "metadata": {
    "origin_pos": 27,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 750x300 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imgs = []\n",
    "for _ in range(n):\n",
    "    imgs += voc_rand_crop(train_features[0], train_labels[0], 200, 300)\n",
    "\n",
    "imgs = [img.permute(1, 2, 0) for img in imgs]\n",
    "d2l.show_images(imgs[::2] + imgs[1::2], 2, n);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63a6b7aa",
   "metadata": {
    "origin_pos": 29
   },
   "source": [
    "### [**自定义语义分割数据集类**]\n",
    "\n",
    "我们通过继承高级API提供的`Dataset`类，自定义了一个语义分割数据集类`VOCSegDataset`。\n",
    "通过实现`__getitem__`函数，我们可以任意访问数据集中索引为`idx`的输入图像及其每个像素的类别索引。\n",
    "由于数据集中有些图像的尺寸可能小于随机裁剪所指定的输出尺寸，这些样本可以通过自定义的`filter`函数移除掉。\n",
    "此外，我们还定义了`normalize_image`函数，从而对输入图像的RGB三个通道的值分别做标准化。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "82139d78",
   "metadata": {
    "origin_pos": 31,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#@save\n",
    "class VOCSegDataset(torch.utils.data.Dataset):\n",
    "    \"\"\"一个用于加载VOC数据集的自定义数据集\"\"\"\n",
    "\n",
    "    def __init__(self, is_train, crop_size, voc_dir): # 这里的crop_size是裁剪的大小, 不能使用resize, 是因为标号不能resize\n",
    "        self.transform = torchvision.transforms.Normalize(\n",
    "            mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
    "        self.crop_size = crop_size\n",
    "        features, labels = read_voc_images(voc_dir, is_train=is_train)\n",
    "        self.features = [self.normalize_image(feature)\n",
    "                         for feature in self.filter(features)]\n",
    "        self.labels = self.filter(labels)\n",
    "        self.colormap2label = voc_colormap2label()\n",
    "        print('read ' + str(len(self.features)) + ' examples')\n",
    "\n",
    "    def normalize_image(self, img):\n",
    "        return self.transform(img.float() / 255)\n",
    "\n",
    "    def filter(self, imgs): # 如果图片太小就不要了\n",
    "        return [img for img in imgs if (\n",
    "            img.shape[1] >= self.crop_size[0] and\n",
    "            img.shape[2] >= self.crop_size[1])]\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        feature, label = voc_rand_crop(self.features[idx], self.labels[idx],\n",
    "                                       *self.crop_size)\n",
    "        return (feature, voc_label_indices(label, self.colormap2label))\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.features)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d079ac1f",
   "metadata": {
    "origin_pos": 33
   },
   "source": [
    "### [**读取数据集**]\n",
    "\n",
    "我们通过自定义的`VOCSegDataset`类来分别创建训练集和测试集的实例。\n",
    "假设我们指定随机裁剪的输出图像的形状为$320\\times 480$，\n",
    "下面我们可以查看训练集和测试集所保留的样本个数。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "79b88eeb",
   "metadata": {
    "origin_pos": 34,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read 1114 examples\n",
      "read 1078 examples\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read 1078 examples\n"
     ]
    }
   ],
   "source": [
    "crop_size = (320, 480)\n",
    "voc_train = VOCSegDataset(True, crop_size, voc_dir)\n",
    "voc_test = VOCSegDataset(False, crop_size, voc_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74e8ab37",
   "metadata": {
    "origin_pos": 35
   },
   "source": [
    "设批量大小为64，我们定义训练集的迭代器。\n",
    "打印第一个小批量的形状会发现：与图像分类或目标检测不同，这里的标签是一个三维数组。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c447d3b",
   "metadata": {
    "origin_pos": 37,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "batch_size = 64\n",
    "train_iter = torch.utils.data.DataLoader(voc_train, batch_size, shuffle=True,\n",
    "                                    drop_last=True,\n",
    "                                    num_workers=d2l.get_dataloader_workers())\n",
    "for X, Y in train_iter:\n",
    "    print(X.shape)\n",
    "    print(Y.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3c5ab46",
   "metadata": {
    "origin_pos": 39
   },
   "source": [
    "### [**整合所有组件**]\n",
    "\n",
    "最后，我们定义以下`load_data_voc`函数来下载并读取Pascal VOC2012语义分割数据集。\n",
    "它返回训练集和测试集的数据迭代器。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce15ca32",
   "metadata": {
    "origin_pos": 41,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#@save\n",
    "def load_data_voc(batch_size, crop_size):\n",
    "    \"\"\"加载VOC语义分割数据集\"\"\"\n",
    "    voc_dir = d2l.download_extract('voc2012', os.path.join(\n",
    "        'VOCdevkit', 'VOC2012'))\n",
    "    num_workers = d2l.get_dataloader_workers()\n",
    "    train_iter = torch.utils.data.DataLoader(\n",
    "        VOCSegDataset(True, crop_size, voc_dir), batch_size,\n",
    "        shuffle=True, drop_last=True, num_workers=num_workers)\n",
    "    test_iter = torch.utils.data.DataLoader(\n",
    "        VOCSegDataset(False, crop_size, voc_dir), batch_size,\n",
    "        drop_last=True, num_workers=num_workers)\n",
    "    return train_iter, test_iter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ea20dfd",
   "metadata": {
    "origin_pos": 43
   },
   "source": [
    "## 小结\n",
    "\n",
    "* 语义分割通过将图像划分为属于不同语义类别的区域，来识别并理解图像中像素级别的内容。\n",
    "* 语义分割的一个重要的数据集叫做Pascal VOC2012。\n",
    "* 由于语义分割的输入图像和标签在像素上一一对应，输入图像会被随机裁剪为固定尺寸而不是缩放。\n",
    "\n",
    "## 练习\n",
    "\n",
    "1. 如何在自动驾驶和医疗图像诊断中应用语义分割？还能想到其他领域的应用吗？\n",
    "1. 回想一下 :numref:`sec_image_augmentation`中对数据增强的描述。图像分类中使用的哪种图像增强方法是难以用于语义分割的？\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17f10497",
   "metadata": {
    "origin_pos": 45,
    "tab": [
     "pytorch"
    ]
   },
   "source": [
    "[Discussions](https://discuss.d2l.ai/t/3295)\n"
   ]
  }
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